Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of performance in some ultrasonic procedures for non‐invasive thermal estimation into hyperthermia phantoms

To dispose of a precise and non‐invasive temperature measurement over the treated area becomes very important during hyperthermia treatments, in order to make possible an optimization of their healing effects. A performance analysis of some previously reported ultrasonic techniques, which were proposed for non‐invasive temperature estimation, is made in this work over phantoms mimicking human tissues. A first technique is based on discrete scattering modeling for tissue characterization and spectral analysis of frequency distributions related to average scatters spacing [R. Seip & E.S. Ebbini]. Other technique uses certain relations between tissue temperature changes and time‐shifts in echoes due to thermally induced sound velocity changes and expansions [R. Maass‐Moreno & C.A. Damianou]. And finally, the third procedure analyzed here, is a recently proposed alternative, based on phase demodulation processing, to estimate the indirect effects of echoes time‐shifts in the phase domain [M. Vazquez, A. Ramos, et al.]. The three options are analyzed for the same simulated & measured multi‐pulse echo patterns, looking for detecting possible advantages and inconveniences in each case. Finally, some improvement paths over the basic estimation methods are also explored.
Instruction Precomputation : Dynamically Removing Redundant Computations Using Profiling 3 performance . 1 . 2 Redundant Computations

As a program executes, some computations are performed over and over again. These redundant computations increase the program’s execution time since they require multiple cycles to execute and because they consume limited processor resources. To minimize the performance degradation that redundant computations have on the processor, we propose using Instruction Precomputation hardware to dynamically remove these redundant computations. Instruction Precomputation profiles the program to determine the highest frequency redundant computations, which are loaded into the Precomputation Table before the program executes. During program execution, the processor accesses the Precomputation Table to determine whether or not an instruction is a redundant computation; instructions that are redundant computations receive their output value from the Precomputation Table and are removed from the pipeline. The key difference between Instruction Precomputation and Value Reuse another microarchitectural technique that dynamically removes redundant computations is that Instruction Precomputation does not dynamically update the Precomputation Table with the most recent redundant computations since it already contains the highest frequency ones. Consequently, Instruction Precomputation requires less chip area and has less impact on the clock period, as compared to Value Reuse. For a 2048entry Precomputation Table, dynamically removing redundant computations yields an average speedup of 10.53%, while, by comparison, a 2048-entry Value Reuse Table produces an average speedup of 7.43%. 0-8493-0052-5/00/$0.00+$. 50 c © 2001 by CRC Press LLC 1
DycomDetector : Discover topics using automatic community detections in dynamic networks

Due to the rapid expansion and heterogeneity of the data, it is a challenging task to discover the trends/paerns and relationships in the data, especially from a corpus of texts from published documents, news, and social media. In this paper, we introduce DycomDetector , a novel approach for topic modeling using community detections in dynamic networks. Our algorithm extracts the important terms/phrases, formulates a network of collocated terms, and then automatically renes the network on various features (such as term/relationship frequency, sudden changes in their ∗Dr. Tommy Dang is with the Department of Computer Science at Texas Tech University. †Vinh Nguyen is with the Department of Computer Science at Texas Tech University. ‡Md. Yasin Kabir is with the Department of Computer Science at Texas Tech University. KDD 2017 Workshop on Interactive Data Exploration and Analytics (IDEA’17), Halifax,
Extending Instruction-Based One-Shot Learning in a CRA by generalizing from a few examples

Autonomous robots will inevitably encounter things that they have never encountered before. To be able to effectively function in open world scenarios such robots must be able to learn about and adapt to these new concepts on the fly, while continuing to maintain their existing goals and actions. We propose an approach by which autonomous robotic agents can use pre-trained knowledge to better understand novel objects. Our proposed approach will use pre-trained classifiers that operate on 2-D and 3-D visual data as a type of high-level feature extractor to aid in the building of models for novel objects the robot has encountered. We will compare and contrast the effectiveness of different combinations of pre-trained models on a data set of our own design in an effort to explore which pre-trained classifiers are effective in which scenarios. Finally, we provide a time-line for our proposal.
Surface morphology of Mytella falcata gill filaments from three regions of the santos estuary

Bivalves have been extensively used to monitor aquatic habitats because their sedentary filter feeding habit results in the accumulation of elements from the environment. The genus Mytella is of special interest because its habit of burrowing in sediments can provide information about the substrate conditions in estuaries. Gill filaments have a large surface that is in constant contact with the water and therefore are used to monitor aquatic environments. In this study, we used scanning electron microscopy (SEM) to investigate the morphology of Mytella falcata gill filaments and to compare the gill structure in specimens from three sites (A, B and C) of the Santos estuary in southeastern Brazil. Site A presents low levels of pollutants, whereas sites C and B were directly affected by industrial discharges and harbor pollutants. The gill filaments of M. falcata have three types of cilia, namely, lateral cilia, eu-latero-frontal cirri and frontal cilia. Structures joining the inner and outer lamellae were found on the abfrontal surface, in addition to the presence of composite and simple cilia. A comparison of the filaments of bivalves from the three sites revealed no morphological alterations, but there was an accumulation of mucus on the frontal surface of the gill filaments of specimens collected at site B. This mucus may function as a protective barrier against pollutants. Bivalves from site C showed no such alteration, even though this site had the highest levels of pollutants. This lack of alterations may reflect the fact that these specimens were collected from concrete pillars where there would be less contact with pollutants. Our findings may reflect a long-term adaptation of these mollusks to chronic exposure to pollutants.
MEMS/NEMS based on mono-, nano-, and ultrananocrystalline diamond films

Diamond, because of its unique physical, chemical, and electrical properties and the feasibility of growing it in thin-film form, is an ideal choice as a material for the fabrication of reliable, long endurance, microelectromechanical/nanoelectromechanical systems (MEMS/NEMS). However, various practical challenges, including wafer-scale thickness uniformity, CMOS compatibility, surface micromachining, and, more importantly, controlling the internal stress of the diamond films, make this material more challenging for MEMS engineers. Recent advances in the growth of diamond films using chemical vapor deposition have changed this landscape since most technical hurdles have been overcome, enabling a new era of diamondbased MEMS and NEMS development. This article discusses a few examples of MEMS and NEMS devices that have been fabricated using mono-, nano-, and ultrananocrystalline diamond films as well as their performance.
On Construing Others: Category and Stereotype Activation from Facial Cues

Although the face is unquestionably the most valuable source of information available to social perceivers, quite how humans exploit physiognomic cues to make sense of unfamiliar social targets has yet to be fully elucidated. The present investigation explores the possibility that bottom-up visual processing of faces (e.g., the detection of diagnostic social category features) increases the accessibility of social group knowledge structures in memory. Two experiments were undertaken in which the inevitability and strength of category and stereotype activation were assessed by having participants make judgments on centrally presented words that were flanked by a varying number of congruent or incongruent distracter faces. Results showed that despite perceivers' intentions to ignore them, the mere presence of faces increased the accessibility of sex categories (Experiment 1) and gender stereotypes (Experiment 2). However, whereas category-based responding was modulated by the number of faces present, no suc.
Blue and fin whale acoustic presence around Antarctica during 2003 and 2004

Seasonal and spatial variations of blue (Balaenoptera musculus) and fin whale (B. physalus) calls were analyzed from recordings collected with Acoustic Recording Packages (ARPs) deployed between January 2003 and July 2004 at four circumpolar locations: the Western Antarctic Peninsula (WAP), the Scotia Sea (SS), Eastern Antarctica (EA), and the Ross Sea (RS). Call characteristics were compared among sites using the average pressure spectrum levels from 1 month of data at each location. Presence of calls was analyzed using automatic call detection and acoustic power analysis methods. Blue whale calls were recorded year-round, with the highest detections in February–May and November. This suggests that the blue whale population may not migrate synchronously, and may indicate long duration calls are more common during migrations. Fin whale calls were detected only during February–July. Two distinct fin whale call types were recorded, suggesting a possible separation into two populations. The calls at the EA site had a secondary frequency peak in the pressure spectrum at 99 Hz and the calls at the WAP and the SS sites had a peak at 89 Hz. No fin whale calls were detected at the RS site. Acoustics are a good tool to monitor large whales in the Southern Ocean.
A sub-canopy structure for simulating oil palm in the Community Land Model (CLM-Palm): phenology, allocation and yield

Abstract. In order to quantify the effects of forests to oil palm conversion occurring in the tropics on land–atmosphere carbon, water and energy fluxes, we develop a new perennial crop sub-model CLM-Palm for simulating a palm plant functional type (PFT) within the framework of the Community Land Model (CLM4.5). CLM-Palm is tested here on oil palm only but is meant of generic interest for other palm crops (e.g., coconut). The oil palm has monopodial morphology and sequential phenology of around 40 stacked phytomers, each carrying a large leaf and a fruit bunch, forming a multilayer canopy. A sub-canopy phenological and physiological parameterization is thus introduced so that each phytomer has its own prognostic leaf growth and fruit yield capacity but with shared stem and root components. Phenology and carbon and nitrogen allocation operate on the different phytomers in parallel but at unsynchronized steps, separated by a thermal period. An important phenological phase is identified for the oil palm – the storage growth period of bud and "spear" leaves which are photosynthetically inactive before expansion. Agricultural practices such as transplanting, fertilization and leaf pruning are represented. Parameters introduced for the oil palm were calibrated and validated with field measurements of leaf area index (LAI), yield and net primary production (NPP) from Sumatra, Indonesia. In calibration with a mature oil palm plantation, the cumulative yields from 2005 to 2014 matched notably well between simulation and observation (mean percentage error = 3 %). Simulated inter-annual dynamics of PFT-level and phytomer-level LAI were both within the range of field measurements. Validation from eight independent oil palm sites shows the ability of the model to adequately predict the average leaf growth and fruit yield across sites and sufficiently represent the significant nitrogen- and age-related site-to-site variability in NPP and yield. Results also indicate that seasonal dynamics of yield and remaining small-scale site-to-site variability of NPP are driven by processes not yet implemented in the model or reflected in the input data. The new sub-canopy structure and phenology and allocation functions in CLM-Palm allow exploring the effects of tropical land-use change, from natural ecosystems to oil palm plantations, on carbon, water and energy cycles and regional climate.
SUB-CLINICAL MASTITIS IN MURRAH BUFFALOES WITH SPECIAL REFERENCE TO PREVALENCE, ETIOLOGY AND ANTIBIOGRAM

This study was carried out to determine the prevalence of sub-clinical mastitis, its etiological agents and their antibiogram in Murrah buffaloes at an organized farm. A total of 326 quarter milk samples were screened from 82 apparently healthy buffaloes. The percent prevalence of sub-clinical mastitis was found to be lower on the basis of SCC (>5x10 5 /ml) alone (23.17) as compared to cultural examination (29.26). However, the quarter-wise percent prevalence on the basis of SCC (11.04) was similar to bacteriological examination (11.65). On the basis of International Dairy Federation criteria, 7.05% of the quarters (SCC above 500,000/ml of milk and culturally positive), 4.60% quarters (SCC below 500,000/ml of milk but culturally positive) and 3.98% (culturally negative and SCC above 500,000/ml) were found to suffer from sub-clinical, latent and non-specifi c mastitis, respectively. Out of 38 culturally positive quarters, a total of 44 organisms were recovered. Of these, 15.90% were coagulase positive staphylococci and 47.72% were coagulase negative staphylococci followed by Streptococcus dysgalactiae 25%, Streptococcus agalactiae 9.09% and Streptococcus uberis 2.27%. and 13.63% of the quarters revealed mixed infections with Staphylococcus spp. + Streptococcus spp. Among Staphylococci, Staphylococcus aureus and Staphylococcus haemolyticus were the main isolates followed by Staphylococcus epidermidis, Staphylococcus simulans, Staphylococcus hyicus, Staphylococcus pasteuri, Staphylococcus saprophyticus subsp. saprophyticus, Staphylococcus arlettae and Staphylococcus gallinarum. All the strains of staphylococci and streptococci were found sensitive to cloxacillin, ceftriaxone and cefoperazone. Streptococci revealed 100 percent sensitivity towards penicillin, enrofl oxacin, ciprofl oxacin, lincomycin and cephalexin.
A comparison of four receptor models used to quantify the boreal wildfire smoke contribution to surface PM 2.5 in Halifax, Nova Scotia during the BORTAS-B experiment

Abstract. This paper presents a quantitative comparison of the four most commonly used receptor models, namely absolute principal component scores (APCS), pragmatic mass closure (PMC), chemical mass balance (CMB) and positive matrix factorization (PMF). The models were used to predict the contributions of a wide variety of sources to PM2.5 mass in Halifax, Nova Scotia during the experiment to quantify the impact of BOReal forest fires on Tropospheric oxidants over the Atlantic using Aircraft and Satellites (BORTAS). However, particular emphasis was placed on the capacity of the models to predict the boreal wildfire smoke contributions during the BORTAS experiment. The performance of the four receptor models was assessed on their ability to predict the observed PM2.5 with an R2 close to 1, an intercept close to zero, a low bias and low RSME. Using PMF, a new woodsmoke enrichment factor of 52 was estimated for use in the PMC receptor model. The results indicate that the APCS and PMC receptor models were not able to accurately resolve total PM2.5 mass concentrations below 2 μg m−3. CMB was better able to resolve these low PM2.5 concentrations, but it could not be run on 9 of the 45 days of PM2.5 samples. PMF was found to be the most robust of the four models since it was able to resolve PM2.5 mass below 2 μg m−3, predict PM2.5 mass on all 45 days and utilise an unambiguous woodsmoke chemical tracer. The median woodsmoke relative contributions to PM2.5 estimated using PMC, APCS, CMB and PMF were found to be 0.08, 0.09, 3.59 and 0.14 μg m−3 respectively. The contribution predicted by the CMB model seemed to be clearly too high based on other observations. The use of levoglucosan as a tracer for woodsmoke was found to be vital for identifying this source.
Combined Use of SMM and Non-SMM Methods to Infer Fine Structure and Evolutionary History of Closely Related Brook Charr (Salvelinus fontinalis, Salmonidea) Populations from Microsatellites

In this paper, we characterized microsatellite and mtDNA variation among 779 individuals representing 26 brook charr ( Salvelinus fontinalis Mitchill) populations from La Mauricie National Park (LMNP) to test the general hypothesis that microsatellite analysis may provide greater resolution than mtDNA to infer the evolutionary history of closely related and geographically proximate populations. We also assessed the relative efﬁciency of stepwise mutation model (SMM) and non-SMM genetic information, used separately and together, to depict population relationships and to quantify the divergence and the partitioning of genetic variance among populations. Based on restriction fragment length polymorphism (RFLP) and single-strand conformation polymorphism sequence data, LMNP displayed a disjunct mtDNA genetic composition compared to other northeastern North American populations. However, these populations formed a homogeneous group, suggesting that they originated from a different glacial refuge. The screening of ﬁve microsatellites revealed high levels of diversity, strongly partitioned among populations, based on both allelic and molecular variance ( F ST (cid:53) 37.04%; (cid:70) ST (cid:53) 45.96%). The use of chord distance was more reliable than ( (cid:100)(cid:109) ) 2 distance in resolving population tree topology using the neighbor-joining (NJ) algorithm. However, the construction of a hybrid tree obtained using the NJ- D CE topology and the least-squares method branch length estimation from ( (cid:100)(cid:109) ) 2 distances appeared to better reﬂect both the relationships and the divergence of populations. This tree was composed of seven population lineages characterized by different genetic compositions and the presence of unique alleles. These lineages coincided only partially with drainages, and, con-sequently, genetic variance was more strongly partitioned among them than among drainages. The magnitude of ( (cid:100)(cid:109) ) 2 distance suggested that LMNP has been recolonized by seven ancestral populations, already isolated prior to the beginning of the last Wisconsinian glacial period, and that differences among lineages could be as old as the refuge from which they originated. This supports the view that microsatellite polymorphism holds the potential for analysis of the evolutionary history of populations over short temporal and geographical scales. These results also suggest that the use of microsatellites in conservation genetics may change our views about the problems of temporal and geographical scales to be considered in order to optimize conservation strategies.
Radio access network resource slicing for flexible service execution

Network slicing is a key enabler for the service-oriented 5G vision, that aims to satisfy various per-service requirements. Unlike core network slicing, radio access network (RAN) slicing is still at its infancy, with several works just starting to investigate the challenges and potentials to enable a mutli-tenant, multi-service RAN. One of the major challenges in RAN slicing is to provide different levels of resource isolation, through resource abstraction, virtualization, and splitting among different tenants/services, while at the same time providing multiplexing gains. To this end, in this work we propose a detailed approach for radio resource virtualization, leveraging different resource abstraction types. Based on it, we formulate the problem of inter-slice resource partitioning and allocation, and propose an algorithm to efficiently tackle this problem. Finally, we provide simulation results that support the benefits of resource abstraction and our proposed algorithm.
Influence of Gestational Age and Parental Education on Executive Functions of Children Born Very Preterm

Background: Children born very preterm (<32 weeks’ gestational age; VPT) and/or very low birth weight (<1500 g; VLBW) are at high risk of deficits in executive functions, namely inhibition, working memory, and shifting. Both, gestational age and socioeconomic factors, such as parental education, are known to influence executive functions, with children born at lower gestational age and with lower educated parents displaying worse executive skills. This study aimed to investigate if maternal and paternal education moderated the relationship between gestational age and executive functions in VPT/VLBW children aged 8-12 years. It was hypothesised that the disadvantageous effect of low gestational age could be buffered more easily in families with higher educational background. Methods: Sixty VPT/VLBW children born in the cohort of 1998-2003 were recruited. All children completed executive function tasks (inhibition, working memory, and shifting). Results: There was a significant dose-response-relationship between gestational age and inhibition, with children being born at earlier gestational age showing worse inhibition. However, neither maternal nor paternal education moderated the relationship between gestational age and executive functions significantly. Conclusion: children than parental education. The disadvantageous effect of low gestational age was equal in children with higher and lower educated parents. However, the impact of gestational age and parental education on executive functions may *Corresponding author: Regula Everts, Division of Neuropaediatrics, Development and Rehabilitation, Children’s University Hospital, Inselspital, 3010 Bern, Switzerland; Tel. 0041 31 632 41 30; Fax. 0041 31 632 92 29; E-mail: regula.everts@insel.ch Received June 11, 2013; Accepted July 11, 2013; Published July 15, 2013 Citation: Ritter BC, Nelle M, Steinlin M, Everts R (2013) Influence of Gestational Age and Parental Education on Executive Functions of Children Born Very Preterm. J Neonatal Biol 2: 120. doi:10.4172/2167-0897.1000120 Copyright: © 2013 Ritter BC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. differ depending on the socioeconomic spectrum of the study sample.