Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence and Clinical Significance of Post-Stent OCT Findings: One Year Follow-Up Study From a Multicenter Registry

Background — Optical coherence tomography (OCT) was recently introduced to optimize percutaneous coronary intervention. However, the exact incidence and significance of post-stent OCT findings are unknown. Methods and Results — A total of 900 lesions treated with 1001 stents in 786 patients who had post-procedure OCT imaging were analyzed to evaluate the incidence of post-stent OCT findings and to identify the OCT predictors for device-oriented clinical endpoints (DoCE), including cardiac death, target vessel-related myocardial infarction, target lesion revascularization (TLR) and stent thrombosis. Patients were followed up to 1 year. Stent edge dissection was detected in 28.7% of lesions and incomplete stent apposition in 39.1% of lesions. The incidences of smooth protrusion, disrupted fibrous tissue protrusion, and irregular protrusion were 92.9%, 61.0%, and 53.8%, respectively. Small minimal stent area (MSA), defined as a lesion with MSA <5.0 mm 2 in a drug eluting stent or <5.6 mm 2 in a bare metal stent, was observed in 40.4% of lesions. One-year DoCE occurred in 33 patients (4.5%). Following adjustment, irregular protrusion and small MSA were independent OCT predictors of 1-year DoCE (P=0.003 and P=0.012, respectively). Conclusions — Abnormal post-stent OCT findings were frequent. Irregular protrusion and small MSA were independent predictors of 1-year DoCE, which was primarily driven by TLR. alalallll crcrcrososossss-sesesectctctioioionananalll imimimagagageseses wititithihihinnn thththeee enenentititirerere ssstetetentntnt lllenenengtgtgthhh ppperereriii-stststenenenttt prprprotototrurrusisisiononon iiintntntooo 333 grgrgrouooupspsps::: smsmsmooooooththth ppprororotrtrtrussusioioionnn, dddiiisrsrsruppupteteteddd fififibrbrbrouoousss tititissssssueeue limmmitititeddd, ttthehehese cucuut-oofoffff vavavaluuuesess yiielld aaa pppooositivvveee prededdictivevve ofofof ooonlnlnly 555.6%6%6% fffororor DDDESESES aaandndnd fffororor BBBMSMSMS. HoHoHoweeweveeverrr, nnnegegegatatativiiveee prprpredededicicictititiveeve valalalueeue ooofff Intttrararavasccuuluar uuultrrrasaaouuundnn assssessssmsmmentt ooof oooptptptimimaaal stttennnt arrreae too prrrevevvent ininin--steenttt estennnosososisisis aafterr zzototarararoloolimmimuusu-, eeeveveverrorolimuuuss-s-, aandndnd siririrololimiimususus ee-elululutititingn ssstetetennt iiimpmplallntttatatatioioionnn. Caaaththetetetererer CaCCarddrdioiiovasc Frreeequueennncy-y-y-dooomamamainnn oooptptiiicaal cccohohherennncecece omoogrgrgrapapaphyhyhy assssesessmmsmenentt ofoo unppprororotetetecteddd lllefefefttt mamamininin cocororonanaaryryry aaartrtrteery dididissseasaasee-aa a compmpmpararariiisonnn wwititith hh nnntrtrtravaavasasascucculalalarrr ullultrtrtrasasasouooundndnd. CaCCathththetteter CCCardididiovasc InIIntetterv
Multiple Spectrum Sensing Techniques for Cognitive Radio System

- For efficient utilization of frequency spectrum, we need to sniff the spectrum to determine whether it is being used by primary user or not. Recent research shows that the available spectrum is not utilized efficiently. The term cognitive radio (CR) refers to the adoption of radio parameters using the sensed information of the spectrum. Cognitive Radio smartly senses and adapts with the changing environment by altering its transmitting parameters, such as modulation, frequency, frame format etc. The focus of this paper is on the comparative study of an important class of non cooperative spectrum sensing detection methods. In this paper, we consider four basic spectrum sensing techniques of transmitter detection: Matched filter detection, Energy detection, Cyclostationary feature detection and eigenvalue based detection.
FAST LEMPEL-ZIV (LZ’78) COMPLEXITY ESTIMATION USING CODEBOOK HASHING

Compression is useful as it helps reduce resources usage, such as storage space or transmission capacity. But we must decompress the compressed data before use. This overhead processing imposes extra computational costs. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed, [1] and the option to decompress the video in full before watching it may be inconvenient or require additional storage. The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced and the computational resources required to compress and un-compress the data. [2] An order over some alphabet typically exhibits some regularities, what is essential to think of compression. For distinctive English texts we can spot that the most regular letters are e, t, a, and the least regular letters are q, z. We can also discover such words as the, of, to regularly. Often also longer remains of the text reappearance, probably even the whole sentences. We can use these stuffs in some way, and the succeeding sections elaborate this matter.
PENGEMBANGAN INSTRUMENT PENGUKURAN KUALITAS LAYANAN PERGURUAN TINGGI: SISTEMATIC LITERATURE REVIEW PADA PUBLIKASI INTERNASIONAL DEVELOPMENT OF MEASUREMENT INSTRUMENTS OF SERVICE QUALITY FOR HIGHER EDUCATION INSTITUTION: SISTEMATIC LITERATURE REVIEW IN INTERNATIONAL PUBLISHING

In line with the increasing awareness of the need for higher education services in the community, attention to the issue of the quality of higher education services is now also getting higher. To survive in the high competition, higher education institutions must know and be aware of the perception of service satisfaction of higher education institutions. This research is a systematic literature review on the dimensions of service quality in higher education. This systematic literature review was conducted on reputable databases, i.e. Emerald, Willey, Springer, Francis & Taylor, Sage publishing, to find global trends in determining service quality dimensions in higher education institutions. This study aims to provide a direction for developing service quality dimensions for higher education institutions following a global perspective. From the results of a systematic literature review analysis, 11 conceptual development models for measuring the service quality of higher education institutions were identified in several acronyms. The conceptual dimensions are most commonly found in Emerald. The future research is still open to develop authentic conceptual dimensions according to the characteristics of universities and involve a broader perspective of service users.
Determining expertise from indirect evidence

In large organizations, quickly ﬁnding the right expert is important. An expert ﬁnding system can help users with this by letting them search for experts matching expertise queries. Automatic expert ﬁnders, which are the focus of this report, accomplish this by analyzing indirect expertise evidence contained in documents, for instance those stored on an organization’s internal network. The goal of this report is to discover the best way to construct such a system, and analyze how its performance compares to that of a system based on manually supplied expertise information. To determine this, several expert ﬁnding algorithms were implemented, and evaluated on two diﬀerent corpora. It was found that the best approach, both in terms of performance and ease of implementation, is to use document-based algorithms, i.e algorithms that work by ﬁrst searching for documents related to a query, and then analyzing the retrieved documents to ﬁnd presumably relevant persons. Furthermore, the best of the implemented expert ﬁnders was compared to an existing manually curated system. The automated expert ﬁnder outperformed the manual one substantially in terms of recall, while maintaining high precision. It was concluded that automatic expert ﬁnders perform well enough to be useful and that the workload needed to implement such a system is small. As such, they can provide either a feasible alternative, or a valuable complement, to manual systems.
Adding Flexibility to Hybrid Number Systems 5

Hybrid number systems (HNSs) represent a natural generalisation of weighted and residue number systems. In HNSs, an integer is represented by using both weighted and residue notations; their mathematical properties, which have been investigated in depth, are strongly dependent on the ratio of the residue to the weighted range of the representation. It is apparent that varying the residue-to-weighted-range ratio should enable us to optimise the mathematical performances of these systems. This paper shows that adding flexibility to hybrid systems is very simple. A general procedure is proposed whose complexity is the same as the well-known mixed radix converting algorithm. A VLSI architecture is presented and its area-time performances are evaluated.
Cellsthe Primary Transcript in Myelomonocytic HD11 of Regulation of the Lysozyme Gene at Processing Posttranscriptional Lipopolysaccharide

Lysozyme is increasingly expressed in macrophages in inﬂammatory response to bacterial LPS. In this study, we investigated the mechanisms that control expression of the lysozyme gene in myelomonocytic HD11 cells activated by LPS. Nuclear run-on transcription assays showed that LPS caused a 15-fold increase in the transcription rate of the lysozyme gene. However, Northern analyses with lysozyme cDNA and intron sequences revealed that the LPS-induced increase in nuclear lysozyme transcripts greatly exceeded the increase in transcription rate. Furthermore, nuclear lysozyme transcripts in untreated cells with a t 1/2 of < 10 min were more unstable than those accumulated in LPS-activated cells. We suggested, therefore, that the increased lysozyme expression following LPS treatment was largely due to a nuclear stabilization of the primary transcript. Interestingly, the increase in stability of the lysozyme primary transcript was accompanied by changes in nuclear processing including an increase in poly(A) tail length, which gradually shortened after entering the cytoplasm. The long lysozyme poly(A) tail, however, did not result in any increase in polysomal recruitment for translation or in stability of the cytoplasmic lysozyme mRNA. The Journal of Immunology, 1998, 160: 4970–4978.
Nonlinear local contourlet energy pattern for image retrieval applications

Local patterns are effective in different machine vision problems such as pedestrian identification, lane categorization, face recognition, retrieving required image etc., Various local patterns are introduced by the researchers in order improve the efficiency, however these local pattern operates on a fixed pixels that are predetermined and are same for all the images. The features thus extracted from these predetermined pixels are limited. In this paper a novel technique called nonlinear local contourlet energy pattern (NLCEP) is introduced which extracts the local pattern from the pixels that are selected dynamically in run time which will vary with the images. Also to improve the feature robustness the features are extracted in Contourlet domain instead of the spatial domain. With this approach the dominant image features like lines/curves are better represented by the NLCEP and its features are effectively used in image retrieval system. The performance of this method is validated by doing different experiments with the standard available databases (viz Corel 1K, Corel 10K and Brodatz). The test results with different experiments shows that the proposed approach provides better performance for image retrieval applications.
Genome Sequence and Key Determinants of Genomic Applications in Horses

Rapid technical advances in molecular genetics and bioinformatics have enabled the integration of genomic information in increasing numbers of routine applications in animal breeding in the last decade. This shift from conventional genetic evaluations to genomic evaluations has started a “new era of breeding” (Eggen, 2012). Especially in dairy cattle, the concept of genomic selection (GS) was rapidly adopted and has radically changed the breeding schemes and structures (Dürr and Philipsson, 2012). Today, GS is successfully used in all major dairy populations worldwide. Genomic selection has facilitated accurate early selection and has substantially reduced the generation interval in dairy cattle breeding. At the same time, it has also made it easier to control inbreeding, which is partly due to more information available about Mendelian sampling terms relative to parent averages and wider screening of potential young sires (Schefers and Weigel, 2012). Based on large-scale access to genotype data, new approaches for the detection and management of genetic defects and improved selection and mating strategies that account for genetic diversity and inbreeding were presented (e.g., Pryce et al., 2012), contributing to a new, powerful genomic toolbox for animal breeders. In horses, much less genomic data is so far available and used than in dairy cattle although there is little doubt that GS has enormous potential for horses as well (Stock and Reents, 2013; Mark et al., 2014). The long generation interval and the trait spectrum in, for example, sport horse breeding imply substantial gain by earlier and more reliable support of selection decisions (Haberland et al., 2012). Relating to the diversity of uses of horses, the much lower proportion of professionals among breeders of horses than of other livestock species, and the often substantial monetary and affective value of individual horses, population management and design of breeding programs are sometimes challenging. At the same time, selection decisions are increasingly requested to be knowledge based, balanced, and sustainable, and genomics could provide valuable information for decision support. Where conventional systems may be difficult to establish and limited in efficiency, like for health and behavior aspects, genomically enhanced systems could facilitate the introduction of new traits in horse breeding for more targeted improvements. Furthermore, traits that are currently hard to improve, e.g., due to limited data availability, late recording and low heritabilities, benefit most from the added information that genomics can contribute, so faster genetic progress can be achieved (Van Grevenhof et al., 2012). The aim of this paper is to review the framework of equine genomic research and innovation and the implementation status of genomic applications for different groups of traits and populations as well as their prospective development in horse breeding. Potential implications for future horse breeding schemes will be discussed, with a focus on sport horses.
Improving the Accuracy of Aquatic Species Distribution Models using Artificial Neural Networks

Modeling the distribution of aquatic species is a challenging task for scientists due to the inherent randomness of fish behavior as well as the complexity of aquatic ecosystems. While traditional modeling methods have been somewhat effective, there is much room for improvement. To improve the prediction accuracy, an artificial neural network (ANN) is proposed. ANNs excel at analyzing data which is complex, unbalanced, and nonlinear, such as ecological data, however they do suffer from issues such as overfitting the data and making overconfident predictions. This is especially common when analyzing smaller datasets. I show that these issues can be avoided to some extent, and that ANNs have strong potential for use in species distribution modeling. Additionally, the ANN is compared to another common method for species distribution modeling. The ANN performed as well as or better than the other model, however there were still some flaws. Finally, the network calculated the probability that a chosen fish species will be found within 2 kilometers of background points generated along the water ways within the study area.
LOCAL CONDITIONING IN DAWSON–WATANABE SUPERPROCESSES BY OLAV KALLENBERG

Consider a locally finite Dawson–Watanabe superprocess ξ = (ξt ) in Rd with d ≥ 2. Our main results include some recursive formulas for the moment measures of ξ , with connections to the uniform Brownian tree, a Brownian snake representation of Palm measures, continuity properties of conditional moment densities, leading by duality to strongly continuous versions of the multivariate Palm distributions, and a local approximation of ξt by a stationary cluster η̃ with nice continuity and scaling properties. This all leads up to an asymptotic description of the conditional distribution of ξt for a fixed t > 0, given that ξt charges the ε-neighborhoods of some points x1, . , xn ∈ Rd . In the limit as ε→ 0, the restrictions to those sets are conditionally independent and given by the pseudo-random measures ξ̃ or η̃, whereas the contribution to the exterior is given by the Palm distribution of ξt at x1, . , xn. Our proofs are based on the Cox cluster representations of the historical process and involve some delicate estimates of moment densities.
Semantic Heterogeneity - An Overview

Owing to the fast growing markets and the rapid evolution of the existing enterprises today different parties use different database schemas to develop their solutions for the same domain, which leads to what, is known as semantic heterogeneity. The importance of database systems in today’s business world together with the fact that today business enterprises employ multiple coexisting information systems makes integration of these heterogeneous systems crucial for the growth and development of these enterprises. In this paper, we try to understand what semantic heterogeneity means and try to overview various classifications that have been proposed for classifying semantic heterogeneity
Topology of 4-manifolds

One of the great achievements of contemporary mathematics is the new understanding of four dimensions. Michael Freedman and Frank Quinn have been the principals in the geometric and topological development of this subject, proving the Poincar and Annulus conjectures respectively. Recognition for this work includes the award of the Fields Medal of the International Congress of Mathematicians to Freedman in 1986. In Topology of 4-Manifolds these authors have collaborated to give a complete and accessible account of the current state of knowledge in this field. The basic material has been considerably simplified from the original publications, and should be accessible to most graduate students. The advanced material goes well beyond the literature; nearly one-third of the book is new. This work is indispensable for any topologist whose work includes four dimensions. It is a valuable reference for geometers and physicists who need an awareness of the topological side of the field.
University of Birmingham Minimally invasive vertical vs. conventional tooth extraction: an interrupted time series study

Background. Minimally invasive vertical tooth extraction techniques have evolved in light of the limitations of conventional tooth extraction techniques and ﬂ ap surgery in preserving the alveolar bone. The authors conducted a study to obtain data on the performance of a vertical extraction system. This included comparing the need for ﬂ ap surgery using the vertical extraction system versus conventional tooth extraction techniques for the extraction of anterior teeth and premolars not suitable for forceps extraction. Methods. The authors conducted a prospective observational clinical study of the vertical extraction system versus conventional tooth extraction techniques using an interrupted time series in line with the Idea, Development, Exploration, Assessment, Long-term Follow-up collaboration framework for surgical innovation. Results. Overall, 276 of 323 teeth (85.4%) in 240 patients were successfully extracted using the vertical extraction system. Of the 47 failures in the vertical tooth extraction cohort, 18 required ﬂ ap surgery, resulting in an overall incidence of ﬂ ap surgery of 5.6% (95% con ﬁ dence interval [CI], 3.2% to 8.7%). During the routine care period, of the 94 anterior teeth and premolars in 78 patients, 21 teeth could not be extracted using conventional techniques and required ﬂ ap surgery, leading to an incidence of ﬂ ap surgery of 22% (95% CI, 14% to 32%). Conclusions. The results suggest that the vertical extraction system may be used with a high success rate for extraction of severely destroyed teeth, and its use may lead to a marked reduction in the need for ﬂ ap surgery. Randomized clinical trials are needed to con ﬁ rm the ﬁ ndings. Practical Implications. The use of a vertical extraction system may lower the incidence of ﬂ ap surgery.
Automatic Elimination of High Amplitude Artifacts in EEG Signals

—High amplitude artifacts represent a problem during EEG recordings in neuroscience research. Taking this into account, this paper proposes a method to identify high amplitude artifacts with no requirement for visual inspection, electrooculo-gram (EOG) reference channel or user assigned parameters. A potential solution to the high amplitude artifacts (HAA) elimination is presented based on the blind source separation technique. The assumption underlying the selection of components is that HAA are independent of the EEG signal and different HAA can be generated during the EEG recordings. Therefore, the number of components related to HAA is variable and depends on the processed signal, which means that the method is adaptable to the input signal. The results demonstrate that the proposed method preferably removes the signal associated to the delta band and maintains the EEG signal information in other bands with a high relative precision, thus improving the quality of the EEG signal. A case study with EEG signals obtained during performance on the Halstead Category Test (HCT) is presented. After HAA removal, data analysis revealed an error-related frontal ERP wave: the feedback-related negativity (FRN) in response to feedback stimuli.
Performance Analysis of Dual Metal Nitride Oxide GAAFET based Common Source Ampli�er

Gate all around FET (GAAFET) is a widely used device structure for designing analog and digital circuits. In this research paper, a common source ampli�er is designed using a dual-metal nitride oxide gate all around FET (DM-NO GAAFET), and performance is investigated for gain, bandwidth, leakage power, and average power. Moreover, analytical expressions of potential, threshold voltage, and DIBL have also been given for DM-NO GAAFET. The DM-NO GAAFET based common source (CS) ampli�er is compared with the MOSFET based CS ampli�er to analyse the performance. First, RF performance parameters of total gate capacitance, unity gain frequency, and transit time are investigated for DM-NO GAAFET; consequently, look up table based Verilog A model is used to design CS ampli�er. Since DM-NO GAAFET provides the very small value of miller capacitance which increases the maximum unity gain frequency of 2.340 THz at the gate voltage of 0.7V. The voltage gain of 2.51 at the frequency range of 10Hz to 50GHz for DM-NO GAAFET based CS ampli�er, is observed which is 40.23 % higher as compared to MOSFET based CS ampli�er. Furthermore, the higher bandwidth of 20GHz is also exhibited by DM-NO GAAFET based CS ampli�er, which is advantageous for higher frequency applications. The leakage power and average power are reduced by 46.07% and 80.05%, respectively, for DM-NO GAAFET based CS ampli�er, which makes it very much suitable for low power and higher frequency analog integrated circuits.