Miracle-dz/UniFAR-FTUs huggingface dataset:
A pyramid-based front-end processor for dynamic vision applications

Real-time vision tasks such as autonomous driving require prodigious computing power yet practical vision systems need to be compact and low cost. I suggest that such systems can be partitioned into two computing stages, for "front-end processing" and "high-level interpretation," respectively, and that each of these stages can be implemented as a single integrated circuit or a small number of such circuits. The two stages differ in data representation and computing architecture: The front-end stage operates on sampled image data and its computations are performed on a processor optimized for signal level processing. The high-level stage operates on abstract and symbolic image data and its computations ate performed on a general-purpose microprocessor. In this paper I describe a "segmented pipeline" architecture for front-end processing and a chip level processor implementation. This vision front-end processor is designed to support early vision functions, such as feature enhancement and motion and stereo analysis, for a broad range of dynamic vision applications. The approach makes systematic use of a multiresolution pyramid framework to achieve high computational efficiency, robustness, and precision.
Process monitoring with restricted Boltzmann machines

Process monitoring and fault diagnosis are used to detect abnormal events in processes. The early detection of such events or faults is crucial to continuous process improvement. Although principal component analysis and partial least squares are widely used for process monitoring and fault diagnosis in the metallurgical industries, these models are linear in principle; nonlinear approaches should provide more compact and informative models. The use of auto associative neural networks or auto encoders provide a principled approach for process monitoring. However, until very recently, these multiple layer neural networks have been difficult to train and have therefore not been used to any significant extent in process monitoring. With newly proposed algorithms based on the pre-training of the layers of the neural networks, it is now possible to train neural networks with very complex structures, i.e. deep neural networks. These neural networks can be used as auto encoders to extract features from high dimensional data. In this study, the application of deep auto encoders in the form of Restricted Boltzmann machines (RBM) to the extraction of features from process data is considered. These networks have mostly been used for data visualization to date and have not been applied in the context of fault diagnosis or process monitoring as yet. The objective of this investigation is therefore to assess the feasibility of using Restricted Boltzmann machines in various fault detection schemes. The use of RBM in process monitoring schemes will be discussed, together with the application of these models in automated control frameworks.
A critical success factors/applications portfolio approach to determining MIS success

Many independent variables have been proposed to help 'explain' the dependent variable, MIS success. The authors describe a new approach, combining a determination of the firm's critical success factors with its portfolio of MIS applications to create a CSF/applications grid. This grid is then used in a study of 106 apparel and textile firms in the US State of Georgia to determine the extent to which this new metric correlates with MIS success, as reported by the firms' managers. Although the results are only modestly significant, the grid appears to offer some promise for use in future MIS success studies. <<ETX>>
Automatic analysis of sibilant assimilation in english

A study that was conducted to test new automated methods for doing phonetic analysis by replicating previous work, to compare sequences of identical sibilants as well as single sibilants, and to examine issues of planning of assimilation across word boundaries, is presented. Segmentation of the recordings was done automatically through forced alignment using HTK and the Prosody Lab aligner. Spectral slices were extracted every 7 ms using a 30 ms Gaussian window and 50 Hz bins. Spectral center of gravity (CoG) was calculated on each slice and the mean and range of the CoG measurements was calculated for each sibilant sequence. The results are in line with previous studies, using much less labor intensive methods. However, discrepancies will need to be investigated further to determine if they are due to analysis techniques or dialect differences.
Association of Facial Aging with DNA Methylation and Epigenetic Age Predictions

Evaluation of biological age, as opposed to chronological age, is of high relevance for interventions to increase healthy aging. Highly reproducible age-associated DNA methylation (DNAm) changes can be integrated into algorithms for epigenetic age predictions. These predictors have mostly been trained to correlate with chronological age, but they are also indicative for biological aging. For example accelerated epigenetic age of blood is associated with higher risk of all-cause mortality in later life. The perceived age of facial images (face-age) is also associated with all-cause mortality and other aging-associated traits. In this study, we therefore tested the hypothesis that an epigenetic predictor for biological age might be trained on face-age as surrogate for biological age, rather than on chronological age. Our data demonstrate that facial aging and DNAm changes in blood provide two independent measures for biological aging.
Design and Exploration of Radio Frequency Identification Systems by Rapid Prototyping

In this thesis I describe the setup and design of a flexible rapid prototyping platform for RFID systems to provide an experimental verification environment for RFID systems, that allows their real-time exploration in distinct measurement setups. Furthermore, I use this system to test the feasibility of novel signal processing algorithms for RFID reader receivers, which promise a performance increase to state-of-the-art-receivers. Three different scenarios are considered: 1. In the first scenario, a single tag communicates with a single receive antenna reader. The performance of the optimal maximum likelihood sequence decoder is identified, and losses due to channel estimation and synchronisation are discussed. Due to the wide deviation from the nominal data rate in the uplink communication, especially synchronisation shows to be a critical issue. 2. In the second scenario, the single tag communicates with a multiple receive antenna RFID reader. This multiple receive antenna system allows for mainly two advances: in a strong line of sight environment I demonstrate that a direction of arrival estimation of the tag signal is feasible, while for an environment with strong multipath components, I propose a maximum ratio combining for diversity combining at the reader receiver. Hence, in the line of sight case I address localisation of RFID tags, while the diversity combining addresses the topic of reliability of the communication in a high fading environment. 3. Finally, in the third scenario multiple tags communicate with the reader simultaneously and generate a collision. Such collisions are modeled on the physical layer, and different receivers with either a single or multiple receive antennas are proposed to recover from a collision at the physical layer. Hence, the topic of throughput in multiple tag communications is addressed here, which is shown to increase by a factor of 1.6 compared to the throughput of a conventional system, in the case a reader can recover from collisions of up to two tags. Moreover, performance tradeoffs regarding throughput, reliability and receiver complexity are shown. For all three scenarios, models for the signal constellations at the reader receiver are developed and supported by measurement data. Implementation aspects of the receivers are discussed, and performance comparisons not only by means of simulations but also by measurements are presented.
Geometric compaction of building-block layout

A geometric approach for building-block layout compaction is presented. With a systematic method of automatic jog insertion, the authors have proved that the proposed algorithm achieves the lower bound of one-dimensional compaction with jog insertion. The approach presented is extremely powerful and provides a very efficient way to compact very complicated VLSI systems. When the input chip is given in symbolic form, the algorithm can be used to space the chip only if the chip can be expanded at every scan line. In this case, the maximum moves of some objects will be negative; the objects are actually moved up in the y -direction compaction to expand the space
Autopoiesis in Virtual Organizations

Virtual organizations continuously gain popularity because of the benefits created by them. Generally, they are defined as temporal adhocracies, project oriented, knowledge-based network organizations. The goal of this paper is to present the hypothesis that knowledge system developed by virtual organization is an autopoietic system. The term â€œautopoiesisâ€ was introduced by Maturana for self-productive systems. In this paper, Wikipedia is described as an example of an autopoietic system. The first part of the paper covers discussion on virtual organizations. Next, autopoiesisâ€™ interpretations are delivered and the value of autopoiesis for governance of virtual organizations is presented. The last parts of the work comprise short presentation of Wikipedia, its principles and conclusions of Wikipedia as an autopoietic system.
Isolation of Citrobacter freundii from Rainbow Trout (Oncorhynchus mykiss) in Freshwater Cage

Bu calismada, Turkiye’nin Karadeniz Bolgesi'nde kafeslerde yetistirilen gokkusagi alabaliklari ( Oncorhynchus mykiss ) hastalik suphesi sonrasi bakteriyolojik olarak arastirilmistir. Baliklardan izole edilen bakteriyel etken, hizli teshis kiti ile Citrobacter braakii olarak isimlendirilmistir (API 20E, Profil: 1704553). Bakterinin kesin tanimlanmasi ise 16S rRNA gen bolgesinin sekansi ile gerceklestirilmistir ve bakteri Citrobacter freundii olarak tanimlanmistir. Ayrica bakterinin alti farkli antimikrobiyale karsi antibakteriyel hassasiyeti belirlenmistir. Bakteri florfenikol, enrofloksasin, oksitetrasiklin ve trimethoprim-sulfamethaksazol antibiyotiklerine karsi duyarli, eritromisin ve amoksisilin antibiyotiklerine karsi ise direncli olarak bulunmustur. En etklili antibiyotik florfenikoldur. Hastalik florfenikol ile tedavi edilmistir.
Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia

Abstract. Setyawan AD, Supriatna J, Nisyawati, Sutarno, Sugiyarto, Nursamsi I. 2018. Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia. Biodiversitas 19: 1960-1977. The current global climate is moving towards dangerous and unprecedented conditions that have been seen as a potentially devastating threat to the environment and all living things. Selaginella is a fern-allies that needs water as a medium for fertilization, hence its distribution is presumed to be affected by climate change. In Southeast Asia (SEA), there are two widely distributed selaginellas, namely Selaginella ciliaris and S. plana. S. ciliaris is a small herb (up to 4 cm), annual, abundant during the rainy season, and found in the middle-high plains, whereas S. plana is a stout large herb (up to 80 cm), perennial, and mainly found in the lowlands. The purpose of this study was to determine the potential niche distribution of S. ciliaris and S. plana under current climatic conditions, and to predict its future distribution under the impacts of climate change. We used Maxent software along with bioclimatic, edaphic, and UV radiation variables to model the potential niche distribution of those two selaginellas under current and future predictions climate conditions. We generated future predictions under four detailed bioclimatic scenarios (i.e., RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) over three times intervals (2030, 2050, 2080). The results showed that future climatic conditions in the SEA had been predicted to significantly disrupt the distribution of suitable habitat of S. ciliaris and S. plana, and alter their geographic distribution patterns. Although some areas were predicted to become suitable habitat in the early period of future climate change, the overall projections show adverse effects of future climate conditions on the suitable habitat distribution of S. ciliaris and S. plana, as estimated losses of suitable habitat will be higher than the gains.
Real-Time Scheduling of Tertiary Storage

To prove the efficiency of Promote-IT we implemented alternative schedulers based on different scheduling models and scheduling paradigms. The evaluation shows that Promote-IT performs better than the other heuristic schedulers. Additionally, Promote-IT provides response-times near the optimum in cases where the optimal scheduler can be computed. We developed a toolbox called JukeTools to easily implement, evaluate and compare jukebox schedulers.
RNAi screen in Tribolium reveals involvement of F-BAR proteins in myoblast fusion and visceral muscle morphogenesis in arthropods

In a large-scale RNAi screen in Tribolium castaneum for genes with knock-down phenotypes in the larval somatic musculature, one recurring phenotype was the appearance of larval muscle fibers that were significantly thinner than those in control animals. Several of the genes producing this knock-down phenotype corresponded to orthologs of Drosophila genes that are known to participate in myoblast fusion, particularly via their effects on actin polymerization. A new gene previously not implicated in myoblast fusion but displaying a similar thin-muscle knock-down phenotype was the Tribolium ortholog of Nostrin, which encodes an F-BAR and SH3 domain protein. Our genetic studies of Nostrin and Cip4, a gene encoding a structurally related protein, in Drosophila show that the encoded F-BAR proteins jointly contribute to efficient myoblast fusion during larval muscle development. In addition, they are required during the profound remodeling of the midgut visceral musculature during metamorphosis, which we also portray. We propose that these F-Bar proteins help govern proper morphogenesis particularly of the longitudinal midgut muscles during metamorphosis.
Expérimentations et évaluations en fouille de textes : un panorama des campagnes DEFT édit. by Cyril Grouin et Dominic Forest (review)

that must be checked to see what they are (and in doing this just for this review I had to force myself back to writing instead of delving into the Web). I will value both books for course preparation as there is unique content in each that will contribute, for example, to content on searching grey literature to inform health policy. However, if I could keep only one, for the quantity of new-to-me content, it would have to be Expert Internet Searching. Among the content that I appreciated most for course preparation is a comparison of clustering search engines such as Carrot2 in chapter 5 and Visual Searching in chapter 8. Chapter 11, “Academic and Other Specialized Search Engines,” sets these specialized “niche market” products apart in a way that reinforces for me that information and resources must be “fit for purpose” and begs the question why we health librarians pay so much to make resources designed for academics available to health services workers without knowing for sure that these workers have enough time or capacity to search for and then synthesize multiple primary research articles to meet their day-to-day practice-based information needs. Chapter 14, “Hints and Tips on Better Searching with Sample Search Examples,” includes pointers for testing search skills, getting the most out of browsers, and setting up personal home pages for expert searchers. I have been digging into the evolving concept of expert searching and have yet to identify recent work that provides an explicit solid, modern foundation to support expert searchers who need both a common language and standard methods to select between and then guide different search processes. This book does not set out to meet these needs, but throughout and specifically in chapter 16, “The Future of Search,” it does expand the horizons of what constitutes expert searching beyond what was imaginable just a few years ago.
Neuroligin dependence of pharyngeal pumping reveals an extrapharyngeal modulation of Caenorhabditis elegans feeding

The integration of distinct sensory modalities is essential for behavioural decision making. In C. elegans this process is coordinated by neural circuits that integrate sensory cues from the environment to generate an appropriate behaviour at the appropriate output muscles. Food is a multimodal cue that impacts on the microcircuits to modulating feeding and foraging drivers at the level of the pharyngeal and body wall muscle respectively. When food triggers an upregulation in pharyngeal pumping it allows the effective ingestion of food. Here we show that a C. elegans mutant in the single orthologous gene of human neuroligins, nlg-1 are defective in food induced pumping. This is not explained by an inability to sense food, as nlg-1 mutants are not defective in chemotaxis towards bacteria. In addition, we show that neuroligin is widely expressed in the nervous system including AIY, ADE, ALA, URX and HSN neurones. Interestingly, despite the deficit in pharyngeal pumping neuroligin is not expressed within the pharyngeal neuromuscular network, which suggests an extrapharyngeal regulation of this circuit. We resolve electrophysiologically the neuroligin contribution to the pharyngeal circuit by mimicking a food-dependent pumping, and show that the nlg-1 phenotype is similar to mutants impaired in GABAergic and/or glutamatergic signalling. We suggest that neuroligin organizes extrapharyngeal circuits that regulate the pharynx. These observations based on the molecular and cellular determinants of feeding are consistent with the emerging role of neuroligin in discretely impacting functional circuits underpinning complex behaviours.
Successes, Challenges and Future Outlook of Multivariate Analysis In HEP

Multivariate techniques using machine learning algorithms have become an integral part in many High Energy Physics data analyses. This article is intended to sketch how this development took place by pointing out a few analyses that pushed forward the exploitation of these powerful analysis techniques. This article does not focus on controversial issues like for example how systematic uncertainties can be dealt with when using such techniques, which have been widely discussed previously by other authors. The main purpose here is to point to the gain in physics reach of the physics experiments due to the adaptation of machine learning techniques and to the challenges the HEP community faces in the light a rapid development in the field of machine learning if we want to make successful use of these powerful selection and reconstruction techniques.
Spatial variation in White-throated Sparrow (Zonotrichia albicollis) refueling rate near a migratory barrier

ABSTRACT Stopover sites are essential to bird migration between wintering and breeding grounds, but annual variation in use and habitat conditions make it difficult to determine which sites are most critical for conservation. By studying physiological factors that may influence a bird's behavior when choosing and using a stopover site, researchers can target certain species or locations and more efficiently invest in conservation efforts. In spring 2013 and 2014, we studied stopover refueling performance in a common northeastern spring migrant, the White-throated Sparrow (Zonotrichia albicollis), at 2 locations near the south shore of Lake Ontario. We used morphological measurements and physiological techniques that assessed the concentration of the blood metabolite plasma triglyceride as a measure of fat deposition and feeding efficiency. We found that birds captured at an inland location had a significantly higher body condition score than birds captured at a coastal stopover site within 0.5 km of the shore; a trend toward higher triglyceride concentrations was also noted at the inland location. We found no significant differences in triglyceride concentrations between White-throated Sparrow color morphs, in contrast to previous studies performed during fall migration. Our results suggest that spring migrants arriving in the area in good energetic condition may begin their cross-lake journey directly from the inland site, while birds in poorer condition may “pile up” at the lakeshore and then compete with other migrants for available resources, slowing their fat deposition rate. Our results also reinforce the importance of protecting high-quality stopover habitat where birds congregate near geographic barriers but suggest that inland habitat patches are important stopover sites that may allow some migrants to bypass nearshore areas of intense competition.
Computer Recognition Systems 2 (Advances in Soft Computing)

This book presents the results of the 5th International Conference on Computer Recognition Sstems CORES 07 held 22-25 October 2007 in Hotel Tumski, Wroclaw, Poland. It brings together original research results in both methodological issues and different application areas of pattern recognition. The contributions cover all topics in pattern recognition including: Classification and interpretation of text, video, voice; statistical, soft and structural methods of pattern recognition; image processing, analysis and interpretation; machine learning; data and Web mining; knowledge-based decision support systems; advanced signal processing methods or special hardware architecture.
Study of the Effect of Sodium Dodecyl Sulfate (SDS) and Acridine Orange on the Isolation of Plasmid and Antimicrobial Resistance Pattern of Clinical Isolates of Klebsiella Sp

For a six months period a total of 25 Klebisiella sp. samples collected from different diagnostic centers were tested for their antimicrobial susceptibility pattern against 16 antimicrobials. All isolates under study showed resistance against cephalexin, cephradine, ciporfloxacin, cloxacillin, erythromycin, oxacillin, rifampicin and tetracycline. Most of the isolates were resistant to amoxicillin (92%), vancomycin (96%), neomycin (84%) and chloramphenicol (76%). Least number of isolates showed resistance to tetracycline (36%), ceftriaxone (40%) and gentamycin (56%), respectively. Out of the 25 isolates, 7 multidrug resistant isolates were selected and they were grown in varying concentrations of Sodium Dodecyl Sulfate (SDS) in Luria broth and their plasmid profile was analysed. Distinct bands of plasmid were observed when the multidrug resistant strains of Klebsiella sp. were grown in 5% SDS and acridine orange (10μg/ml) in Luria broth. On being treated with 5% SDS and 5% SDS along with acridine orange, one isolate (isolate no. 3) developed sensitivity against ceftriaxone, ciprofloxacin, co-trimoxazole, gentamycin and neomycin. Keywords: Klebsiella sp. ; plasmid; antimicrobial susceptibility; multidrug resistance; sodium dodecyl sulfate (SDS) DOI: http://dx.doi. org/10.3329/diujst.v7i1. 9646 Daffodil International University Journal of Science and Technology Vol.7(1) 2012 38-43
Quality Assurance Procedures for ModCat Database Code Files

The Quality Assurance procedures used for the initial phase of the Model Catalog Project were developed to attain two objectives, referred to as “basic functionality” and “visualization. ” To ensure the Monte Carlo N-Particle model input files posted into the ModCat database meet those goals, all models considered as candidates for the database are tested, revised, and re-tested.