Miracle-dz/UniFAR-FTUs huggingface dataset:
Cyclic prefix-based noise estimation with DVB-T input for spectrum sensing in cognitive radio

The existing blind noise estimation called cyclic prefix based noise estimation without knowledge of a priori signal is simulated along with input of DVB-T and the multipath channel ITU-T pedestrian model A. The simulation is done by means to know NMSE and noise uncertainty over time observation with varied SNR. The NMSE shows a very good result and close to the result of the previous research. The corresponding noise uncertainty is simulated in order to observe the performance of detection of spectrum sensing. It has the result that such limitation of detection called SNR wall will not occur. Based on the research, the estimator is expected to be applied along with spectrum sensing in cognitive radio network.
Study on spike detection of cereal plants

The spike of a cereal plant is the grain-bearing organ whose physical properties are therefore critical components for plant yield. The ability to detect spikes from 2D images of cereals, such as wheat, provides vital information on tiller number and plants yield potential. We propose a novel spike detection method, which uses both RGB and fluorescence images. Firstly, an improved colour index method is used in the segmentation of plant feature from visible light RGB images, while threshold colour segmentation is applied to fluorescence images. Secondly, morphology algorithms are used to refine the initial segmentation results. Thirdly, a neural network-based method using Laws texture energy is performed for spike detection; connected and overlapping spikes are identified based on the average area and average perimeter of spikes and separated by a straight line through the center of the overlapping region. Finally, the spikes are extracted using area and height thresholds. Experimental results with two data sets have shown that the proposed method is simple, practical and can identify spikes with an accuracy of over 80%.
HybridRank: A Hybrid Content-Based Approach To Mobile Game Recommendations

The massive number of mobile games available necessitates a technique to help the consumer find the right game at the right time. This paper introduces HybridRank, a novel hybrid algorithm to deliver recommendations for mobile games. This technique is based on a personalised random walk approach, with the incorporation of both content-based and user-based information in the formulation of the recommendations. This technique is evaluated against traditional neighbourhood based collaborative filtering and content-based recommendation algorithms. This paper also explores the fact that this algorithm can also be used to help alleviate the cold start problem that is associated with little user data. [1] Online evaluations were conducted and results yield that the approach presented performed the best in both a controlled testing environment as well as in live production. This algorithm is currently implemented in a live mobile game platform developed by Singapore Telecommunications Ltd called WePlay.
Dual-Vt design of FPGAs for subthreshold leakage tolerance

In this paper we propose a dual-Vt FPGA architecture for reduction of subthreshold leakage power. A CAD flow has been proposed based on the dual-Vt assignment algorithm and placement for realizing the dual-Vt FPGA architecture. Logic elements within the logic blocks are the candidates for dual-Vt assignment. We propose an architecture in which there are two kinds of logic blocks, one with all high-Vt logic elements and another with a fixed percentage of high-Vt logic elements. These two kinds of logic blocks are then placed in such a way that the FPGA architecture remains regular. Results indicate that in the ideal case of dual-Vt assignment, over 95% of the logic elements can be assigned high-Vt. Results show that leakage savings of 55% can be achieved. Design tradeoffs for various ratios of the two kinds of logic blocks are investigated. The dual-Vt FPGA CAD flow is intended for development and evaluation of dual-Vt FPGA architectures
Chromosome looping in yeast

Long-range chromosome organization is known to influence nuclear function. Budding yeast centromeres cluster near the spindle pole body, whereas telomeres are grouped in five to eight perinuclear foci. Using live microscopy, we examine the relative positions of right and left telomeres of several yeast chromosomes. Integrated lac and tet operator arrays are visualized by their respective repressor fused to CFP and YFP in interphase yeast cells. The two ends of chromosomes 3 and 6 interact significantly but transiently, forming whole chromosome loops. For chromosomes 5 and 14, end-to-end interaction is less frequent, yet telomeres are closer to each other than to the centromere, suggesting that yeast chromosomes fold in a Rabl-like conformation. Disruption of telomere anchoring by deletions of YKU70 or SIR4 significantly compromises contact between two linked telomeres. These mutations do not, however, eliminate coordinated movement of telomere (Tel) 6R and Tel6L, which we propose stems from the territorial organization of yeast chromosomes.
Gathering Alternative Surface Forms for DBpedia Entities

Wikipedia is often used a source of surface forms, or alternative reference strings for an entity, required for entity linking, disambiguation or coreference resolution tasks. Surface forms have been extracted in a number of works from Wikipedia labels, redirects, disam-biguations and anchor texts of internal Wikipedia links, which we complement with anchor texts of external Wikipedia links from the Common Crawl web corpus. We tackle the problem of quality of Wikipedia-based surface forms, which has not been raised before. We create the gold standard for the dataset quality evaluation, which reveales the surprisingly low precision of the Wikipedia-based surface forms. We propose ﬁltering approaches that allowed boosting the precision from 75% to 85% for a random entity subset, and from 45% to more than 65% for the subset of popular entities. The ﬁltered surface form dataset as well the gold standard are made publicly available.
Leptin constrains acetylcholine-induced insulin secretion from pancreatic islets of ob/ob mice.

Hypersecretion of insulin from the pancreas is among the earliest detectable metabolic alterations in some genetically obese animals including the ob/ob mouse and in some obesity-prone humans. Since the primary cause of obesity in the ob/ob mouse is a lack of leptin due to a mutation in the ob gene, we tested the hypothesis that leptin targets a regulatory pathway in pancreatic islets to prevent hypersecretion of insulin. Insulin secretion is regulated by changes in blood glucose, as well as by peptides from the gastrointestinal tract and neurotransmitters that activate the pancreatic islet adenylyl cyclase (e.g., glucagon-like peptide-1) and phospholipase C (PLC) (e.g., acetylcholine) signaling pathways to further potentiate glucose-induced insulin secretion. Effects of leptin on each of these regulatory pathways were thus examined. Leptin did not influence glucose or glucagon-like peptide-1-induced insulin secretion from islets of either ob/ob or lean mice, consistent with earlier findings that these regulatory pathways do not contribute to the early-onset hypersecretion of insulin from islets of ob/ob mice. However, leptin did constrain the enhanced PLC- mediated insulin secretion characteristic of islets from ob/ob mice, without influencing release from islets of lean mice. A specific enhancement in PLC-mediated insulin secretion is the earliest reported developmental alteration in insulin secretion from islets of ob/ob mice, and thus a logical target for leptin action. This action of leptin on PLC-mediated insulin secretion was dose-dependent, rapid-onset (i.e., within 3 min), and reversible. Leptin was equally effective in constraining the enhanced insulin release from islets of ob/ob mice caused by protein kinase C (PKC) activation, a downstream mediator of the PLC signal pathway. One function of leptin in control of body composition is thus to target a PKC-regulated component of the PLC-PKC signaling system within islets to prevent hypersecretion of insulin.
Elucidation of the Anti-Inflammatory Mechanisms of Bupleuri and Scutellariae Radix Using System Pharmacological Analyses

Objective. This study was aimed at elucidating the molecular mechanisms underlying the anti-inflammatory effect of the combined application of Bupleuri Radix and Scutellariae Radix and explored the potential therapeutic efficacy of these two drugs on inflammation-related diseases. Methods. After searching the databases, we collected the active ingredients of Bupleuri Radix and Scutellariae Radix and calculated their oral bioavailability (OB) and drug-likeness (DL) based on the absorption-distribution-metabolism-elimination (ADME) model. In addition, we predicted the drug targets of the selected active components based on weighted ensemble similarity (WES) and used them to construct a drug-target network. Gene ontology (GO) analysis and KEGG mapper tools were performed on these predicted target genes. Results. We obtained 30 compounds from Bupleuri Radix and Scutellariae Radix of good quality as indicated by ADME assays, which possess potential pharmacological activity. These 30 ingredients have a total of 121 potential target genes, which are involved in 24 biological processes related to inflammation. Conclusions. Combined application of Bupleuri Radix and Scutellariae Radix was found not only to directly inhibit the synthesis and release of inflammatory cytokines, but also to have potential therapeutic effects against inflammation-induced pain. In addition, a combination therapy of these two drugs exhibited systemic treatment efficacy and provided a theoretical basis for the development of drugs against inflammatory diseases.
Social/Health Maintenance Organization and Fee-for-Service Health Outcomes Over Time

Evaluating the performance of long-term care (LTC) demonstrations requires longitudinal assessment of multiple outcomes where selective mortality and disenrollment, if not accounted for, can give the appearance of reduced (or enhanced) efficacy. We assessed outcomes in social/health maintenance organizations (S/HMOs) and Medicare fee-for-service (FFS) care using a multivariate model to estimate active life expectancy (ALE). S/HMO enrollees and samples of FFS clients in four sites were analyzed and outcome differences assessed for a 3-year period. Results provide insights into S/HMO performance under different conditions and, more generally, into evaluating LTC demonstrations without randomized client and control groups.
Nutritional regulation of adipose tissue lipoprotein lipase is blunted in insulin resistant rats

BackgroundHypertriglyceridemia is a common lipid abnormality accompanying insulin resistance. This study was designed to assess the contribution of dysregulation of adipose tissue lipoprotein lipase (LPL) activity to the hypertriglyceridemia in a rat model of insulin resistance.MethodologyHereditary hypertriglyceridemic (HHTg) rats were challenged for two weeks on a high sucrose diet and LPL activity, angptl-4 expression and FFA utilisation in vitro were determined in adipose tissue.ResultsCompared to control rats (Wistar), HHTg rats exhibited hyperinsulinemia, impaired fatty acid storage in adipose tissue and elevated LPL activity both in fasting and after refeeding. The expression of angiopoietin-like protein 4 (angptl4), a fastinginduced control protein for LPL activity, was not increased in adipose tissue of fasted HHTg rats as it was in the control rats.ConclusionWe conclude that LPL remains in its active form to a higher extent in HHTg rat adipose tissue due to the low expression of angptl4 on fasting. This is a possible consequence of the hyperinsulinemia. In combination with the impaired storage of fatty acids as triglycerides in adipose tissue in HHTg rats, the inflexibility of angptl4 expression may contribute to the establishment of hypertriglyceridemia in the insulin-resistant animals.
An Efficient Commit Protocol Exploiting Primary-Backup Placement in a Distributed Storage System

Advanced data engineering applications require a large-scale storage system that is both scalable and dependable. In such a system, an atomic commit protocol becomes imperative to ensure the consistency and atomicity of transactions. In this paper we present a new commit protocol, BA-1.5PC, which is well tailored to such distributed storage environments as autonomous disks that use a primary-backup storage schema. The protocol achieves an efficient commit process while also guaranteeing a high dependability by combining several approaches: (1) a low-overhead log mechanism that eliminates blocking disk I/Os, (2) removing the voting phase from commit processing to gain a faster commit process, and (3) a primary-backup assisted recovery strategy to enhance dependability in the presence of possible failures, so that a master failure in the decision phase are not block prepared cohorts of a transaction. Experiments were carried out on a trial version of an autonomous disks system to verify its efficiency. The results indicate that this protocol significantly outperforms several well-known commit protocols in terms of transaction throughput
Tweet-Based Election Prediction

Twitter is a microblogging service that has more than 500 million messages on a daily basis. Scholars has been utilizing Twitter to monitor people reactions in political activities, such as debates and campaigns. By doing so, some of them claim that a forecast or prediction to an election can be made. Using the data from 2014 Indonesia Presidential Election, we calculate predictions with many different parameters. Our analysis of the prediction results shows the importance of a proper data collection method, removing spam, incorporating sentiment detection to the tweets, and performing data normalization using demographic information. Although looks very promising, our results show that result prediction is not applicable to any election. Dividing the data into 33 provinces, the data suggests that applying the methodology to provinces with a small dataset leads into inaccurate predictions.
The potential dangers of a systematic, explicit approach to teaching social and emotional skills (SEAL)

This paper is a summary, or overview, of a much larger paper which the Centre for Confidence and Well-being has published called 'The potential dangers of a systematic, explicit approach to teaching social and emotional skills' (SEAL). This overview paper summarises some of the main arguments of the large paper. It does so by telescoping the arguments and presenting them largely without the extensive supporting evidence contained in the main paper. Anyone interested in why we have reached these conclusions, and the evidence to support them, should refer to the main document which can be ordered from the Centre and Confidence and Well-being's website. This is a controversial paper. SEAL (Social and Emotional Aspects of Learning) is now a major plank of the current government's education policy in England and Wales. We are taking steps to publish this critique because we believe that the approach being recommended to schools may not only waste of time and resources but also unwittingly undermine young people's well-being. As yet there is no work of this type being encouraged by the Scottish Executive. However, some local authorities and schools in Scotland are interested in piloting this approach. We share the Department of Children, Schools and Families concern about young people's well-being but we think this concern is causing panic and pressure to take action and dangerous shortcuts which do not appear to be well thought through. Despite claims to the contrary, they are not strongly based on evidence. Since SEAL is still only 'recommended' and not compulsory, teachers, schools and education authorities have the power to ignore or adopt. Our paper may be a useful counterpoint to the arguments they are being given on the benefits of SEAL. It will help them see the paucity of evidence for such a wholesale change in education and encourage them to evaluate the credibility of the case for SEAL and what the potential dangers might be. Finally, I have been working with teachers and researching these types of themes for many years. I am not a psychologist but I am an enlightened layperson who is prepared to ask difficult questions and point out potential flaws. The Centre for Confidence and Well-being has nothing to gain from taking a critical approach. We could easily have jumped on the emotional literacy/skills bandwagon and created packs of material, particularly for the Scottish market. We are publishing this paper for the …
Assigning virtual tool dynamics to an industrial robot through an admittance controller

Teaching a task to an industrial robotic manipulator can be done using either programming languages or “teaching by showing” techniques, where the operator drives the robot to prescribed positions using a teach pendant. An evolution of these techniques consists in the operator physically and safely interacting with the robot, by manually guiding its end-effector. Teaching of certain operations like spray painting is much more effective in this way. The present paper addresses this scenario, contributing with an exact formulation of the dynamics of the virtual tool, i.e. the tool whose dynamics the operator should feel when interacting with the robot. An admittance controller driven by the measurements of a force/torque sensor is designed in order to ensure that this virtual dynamic behavior is achieved. Experiments on an industrial robot are shown and discussed.
ChanShenIMS Theory and Computation of Variational Image Deblurring

To recover a sharp image from its blurry observation is the problem known as image deblurring. It frequently arises in imaging sciences and technologies, including optical, medical, and astronomical applications, and is crucial for allowing to detect important features and patterns such as those of a distant planet or some microscopic tissue. Mathematically, image deblurring is intimately connected to backward diffusion processes (e.g., inverting the heat equation), which are notoriously unstable. As inverse problem solvers, deblurring models therefore crucially depend upon proper regularizers or conditioners that help secure stability, often at the necessary cost of losing certain highfrequency details in the original images. Such regularization techniques can ensure the existence, uniqueness, or stability of deblurred images. The present work follows closely the general framework described in our recent monograph [18], but also contains more updated views and approaches to image deblurring, including, e.g., more discussion on stochastic signals, the Bayesian/Tikhonov approach to Wiener filtering, and the iterated-shrinkage algorithm of Daubechies et al. [30,31] for wavelet-based deblurring. The work thus contributes to the development of generic, systematic, and unified frameworks in contemporary image processing.
On Künneth suspensions

In (2) we defined the Künneth suspension of a cohomology operation —the Künneth suspension involves an arbitrary css-complex Y rather than the 1-sphere S1, as with the usual suspension of a cohomology operation. Now the suspension homomorphism is well known to be related to the operation of forming loop spaces (cf. (4)). The main object of this paper is to prove a similar result for the Künneth suspension.
0 STATE-OF THE ART IN COMPUTATIONAL AERODYNAMICS

Computational aerodynamics, which complement more expensive empirical approaches, are critical for developing aerospace vehicles. During the past three decades, computational aerodynamics capability has improved remarkably, following advances in computer hardware and algorithm development. However, most of the fundamental computational capability realized in recent applications is derived from earlier advances, where specific gaps in solution procedures have been addressed only incrementally. The present paper presents our view of the state-of-the-art in computational aerodynamics and assessment of the issues that drive future aerodynamics and aerospace vehicle development. Requisite capabilities for perceived future needs are discussed, and associated grand challenge problems are presented.
Hello again: Stabilization of the Hello protocol in OSPF

The Hello protocol in OSPF allows each router in a network to check whether it can exchange messages with neighboring routers in its network. This check is carried out by making each router periodically send hello messages to every neighboring router in the network. Associated with the Hello protocol are two time periods: the hello period and the dead period. The hello period is the time period between sending two successive hello messages to the same neighbor. The dead period is the time period after which a router can declare a neighbor dead if during this period the router does not receive any hello messages from that neighbor. The original Hello protocol restricts the hello and dead periods to be fixed over time and to be identical in all routers. Simulation studies have shown that these restrictions contribute to network instabilities and even to network collapse. To improve network stability, we present a flexible Hello protocol where the hello and dead periods change over time and become consistent (rather than identical) in all routers. To ensure the fault-tolerance of our Hello protocol, the protocol is designed to be stabilizing. That is, when started from an arbitrary initial state, the protocol converges to a legitimate state, and remains in legitimate states throughout the remainder of its execution.
NAME SIMILARITY MEASURES FOR XML SCHEMA MATCHING

Schema matching plays a cenral role in identifying the semantic correspondences across shared-data applications, such as data integration etc. One of the great challenges in the field of XML schema matching is the definition, adoption, and utilization of element similarity measures. We classify these measures either as internal or external. The internal element measures are based on element features while external measures rely heavily on the element context. The element name is considered as the most important feature of XML schema elements and a vital source of semantic information for schema matching. Therefore, we aim in this study to concentrate on the name similarity measures as an initial step towards building efficient and effective matchers. We strive to validate the effect of existing string functions and their combinations on schema matching performance. The experimental evaluation shows good and encourage results towards building robust schema matchers utilizing different schemas.
The Evolution of Solid Object Designs using Genetic Algorithms

This paper describes an attempt to enable computers to generate truly novel conceptual designs of three dimensional solid objects by using genetic algorithms (GAs). These designs are represented using spatial partitions of 'stretched cubes' with optional intersecting planes [1]. Each individual three-dimensional solid object has its functionality specified by an explicit objective function, which is utilised by GAs to evolve candidate designs.