Miracle-dz/UniFAR-FTUs huggingface dataset:
Thematic and content analysis of idiopathic nightmares and bad dreams.

STUDY OBJECTIVES To conduct a comprehensive and comparative study of prospectively collected bad dream and nightmare reports using a broad range of dream content variables. DESIGN Correlational and descriptive. SETTING Participants' homes. PARTICIPANTS Three hundred thirty-one adult volunteers (55 men, 275 women, 1 not specified; mean age = 32.4 ± 14.8 y). INTERVENTIONS N/A. MEASUREMENT AND RESULTS Five hundred seventy-two participants kept a written record of all of their remembered dreams in a log for 2 to 5 consecutive weeks. A total of 9,796 dream reports were collected and the content of 253 nightmares and 431 bad dreams reported by 331 participants was investigated. Physical aggression was the most frequently reported theme in nightmares, whereas interpersonal conflicts predominated in bad dreams. Nightmares were rated by participants as being substantially more emotionally intense than were bad dreams. Thirty-five percent of nightmares and 55% of bad dreams contained primary emotions other than fear. When compared to bad dreams, nightmares were more bizarre and contained substantially more aggressions, failures, and unfortunate endings. CONCLUSIONS The results have important implications on how nightmares are conceptualized and defined and support the view that when compared to bad dreams, nightmares represent a somewhat rarer-and more severe-expression of the same basic phenomenon.
Control for ball and plate system based on RBF-ADRC

Aiming at multiple input uncertainty high-order nonlinear ball and plate system, a control strategy of cascade control with multiple auto-disturbance-rejection controls is proposed. To improve the adaptive ability of the ADRC, RBF neural network is used in the parameters optimization. The simulation experiments show that the proposed control method can effectively solve the problems of coupling and uncertainty. The trajectory tracking effect is satisfactory.
Rising antigenemia levels may be misleading in pre-emptive therapy of human cytomegalovirus infection in allogeneic hematopoietic stem cell transplant recipients.

BACKGROUND AND OBJECTIVES Hematopoietic stem cell transplant (HSCT) recipients after show rising levels of antigenemia during pre-emptive ganciclovir treatment of human cytomegalovirus (HCMV) infection. This raises some doubts about the therapeutic decisions to be taken. DESIGN AND METHODS Three groups of HSCT recipients with HCMV infection undergoing anti-viral treatment were identified: group A, showing increasing antigenemia and decreasing viremia and DNAemia; group B, with simultaneous increases in antigenemia, viremia, and DNAemia; and group C, with decreasing levels of all 3 viral markers. Viral load, determined as levels of antigenemia, viremia and DNAemia, was monitored for 3 months post-transplantation in all groups. RESULTS Group A HSCT recipients showed antigenemia peaks 2-11 days after the onset of treatment, reaching negative levels only 25-30 days thereafter, whereas viremia and DNAemia started to drop earlier. Group B patients, mainly including HSCT recipients with grade II-IV acute GvHD treated with steroids prior to and during antiviral treatment, showed increasing levels of all three viral parameters until 5-10 days after the start of treatment; the levels dropped to negative values 25-30 days thereafter. Group C patients, who acted as controls, progressively cleared virus from blood as an early result of antiviral therapy. INTERPRETATION AND CONCLUSIONS Antigenemia is not the best assay to guide pre-emptive therapy. Group A patients, who have an isolated increase of antigenemia, do not require a change of the ongoing antiviral therapy. Whether better control of infection could be obtained in group B patients by either reducing immunosuppressive therapy (when possible) or adopting combination therapy remains to be determined.
Unit quaternion observer based attitude stabilization of a rigid spacecraft without velocity measurement

In this paper, we propose an alternative solution to the attitude stabilization problem without velocity measurement. Our approach consists of using a unit quaternion observer and a linear feedback control law in terms of the vector parts of the actual unit quaternion and the estimation-error quaternion. The closed loop system leads to a passive mapping between the observer input and the vector part of the estimation-error quaternion, which in turns allows to choose the observer input as a simple feedback in terms of the vector part of the estimation-error quaternion. The resulting control scheme, without velocity measurement and without the use of a lead filter, guarantees global asymptotic stability. Simulation results are provided to show the effectiveness of the proposed controller
Bitcoin mining acceleration and performance quantification

Since its introduction in 2009, Bitcoin, an open source, peer to peer, digital crypto currency has been growing in popularity and wide spread use. Growing attention, recognition by major financial institutions and high valued currency units (BTC) ascertains Bitcoin to a sturdy and ever increasing choice of currency. A public transaction log called the “Blockchain” keeps records of all committed transactions and Bitcoin ownership details, that is, addresses derived by cryptographic keys. Bitcoin mining, a process which results in the generation of new Bitcoins, is performed by miner operators for reception of incentives in the form of Bitcoins. This mining process is essentially operations of SHA-256 hashing of values in search of a hash digest smaller than a specific value. Once this winning hash has been discovered, a new block to Blockchain is added and BTC incentives are furnished by the Bitcoin network to the miner. This paper discusses methods of performing Bitcoin mining on non-custom hardware which results in contextually faster mining by combined usage of computing elements within machines in mining networks, both illegal and legal.
Exploiting Periodicity in Recurrent Scenes

There is considerable interest in techniques capable of identifying anomalies and unusual events in busy outdoor scenes, e.g. road junctions. Many approaches achieve this by exploiting deviations in spatial appearance from some expected norm accumulated by a model over time. In this work we show that much can be gained from explicitly modelling temporal aspects of scene activity in detail. We characterize a scene by identifying the fundamental period of change on a spatial block-by-block basis by estimating autocovariance of self-similarity. As our model, we introduce a spatio-temporal grid of histograms built corresponding to some chosen feature. This model is then used to identify objects found in unexpected spatial and temporal locations in subsequent test data. Employing a Phase-Locked Loop technique, we describe a method of ensuring that the spatio-temporal model maintains synchronization with learned scene activity in spite of short-term breakdown in the reliability of acquired data, and long-term change of the mean fundamental period. Results indicate our model to be capable of discrimination between behavioural aspects of cars at a typical road junction sufficiently well to provide useful warnings of adverse activity in real time.
Cyclophilin A Is a Proinflammatory Cytokine that Activates Endothelial Cells

Objective—Cyclophilin A (CyPA) is an abundant intracellular protein that is considered to be the main target of the immunosuppressive drug cyclosporine A. We and others showed that CyPA is secreted from smooth muscle cells and macrophages in response to oxidative stress and lipopolysaccharide, suggesting a role for CyPA in inflammation. We therefore studied the proinflammatory effects of CyPA on vascular endothelium. Methods and Results—Because atherosclerosis is an inflammatory disease, we studied expression of CyPA in atherosclerotic plaques from the ApoE−/− mouse. Using immunohistochemistry, we showed that CyPA was highly expressed in these plaques. Because endothelial cells (EC) are important mediators of inflammation, we next studied the ability of CyPA to activate EC. Human recombinant CyPA activated mitogen-activated protein kinases, including ERK1/2, JNK, and p38 in cultured human umbilical vein EC. CyPA also stimulated IκB-&agr; phosphorylation and NF-κB activation, and induced expression of adhesion molecules including E-selectin and vascular cell adhesion molecule-1. Furthermore, the combination of CyPA and cycloheximide induced EC apoptosis similar to the proapoptotic effect of tumor necrosis factor-&agr;. Conclusions—Our data indicate that CyPA has proinflammatory effects on EC and may play an important role in the pathogenesis of inflammatory diseases, such as atherosclerosis.
Rheological redundancy—from polymers to living cells

Solutions and gels of semiflexible polymers provide a template for the molecular description of a large class of soft materials including dispersed polysaccharides, carbon nanotubes, cytoskeletal proteins, and even living cells. These chemically very diverse systems all seem to share characteristic macroscopic mechanical properties, such as power‐law rheology, transitions from shear stiffening to softening, and plastic flow. We attempt to trace back the observed universality to the common meso‐scale structure, which is argued to conceal much of the molecular details and held responsible for the pronounced rheological redundancy.
The effects of physical form of feed, carbohydrate source, and inclusion of sodium bicarbonate on the diet selections of sheep.

We proposed an hypothesis that ruminants attempt to select a diet that promotes high levels of feed intake by maintaining optimal ruminal conditions. Three tests of the hypothesis considered whether the diet selection of sheep given either a choice of two high energy density (ED) feeds or a choice between a high and a low ED feed is affected by 1) sodium bicarbonate inclusion (NaHCO3; 1, 2, and 4% [wt/wt]) in the high [ED] feed); 2) dietary carbohydrate source (barley-based, B and sugar beet/ barley, S) of the high ED feed; or 3) physical form (alfalfa: pelleted, ALFP and long chop, ALFL) of the low ED feed. To conduct these, 42 lambs were used in seven 6 x 6 Latin squares, which were either foods ALFL and ALFP offered alone and paired with feed B or S and their NaHCO3 derivatives as a choice, or foods B and S offered alone and paired with their NaHCO3 derivatives as a choice. Each Latin square period lasted for 3 wk. For the choices between a NaHCO3-supplemented high ED feed and either a high or a low ED one, the inclusion of NaHCO3 increased feed intake. Its level of inclusion had a marked effect on the proportion of unsupplemented high ED feed selected (P < .05) but not on the proportion of low ED feed (alfalfa) selected. More alfalfa was selected when the high ED feed was based on barley (B) rather than sugar beet/barley (S) (P < .05). The physical form of the alfalfa affected diet selection because its selection was greater (P < .001) when ALFP (pelleted) was offered in the feed choice rather than ALFL (long-chop). The significant effects of NaHCO3 level, dietary carbohydrate, and physical form on the diet selection and feed intake of the sheep are consistent with the proposed experimental hypothesis.
Evidence of asymmetric cell division and centrosome inheritance in human neuroblastoma cells

Asymmetric cell division (ACD) is believed to be a physiological event that occurs during development and tissue homeostasis in a large variety of organisms. ACD produces two unequal daughter cells, one of which resembles a multipotent stem and/or progenitor cell, whereas the other has potential for differentiation. Although recent studies have shown that the balance between self-renewal and differentiation potentials is precisely controlled and that alterations in the balance may lead to tumorigenesis in Drosophila neuroblasts, it is largely unknown whether human cancer cells directly show ACD in an evolutionarily conserved manner. Here, we show that the conserved polarity/spindle protein NuMA is preferentially localized to one side of the cell cortex during cell division, generating unequal inheritance of fate-altering molecules in human neuroblastoma cell lines. We also show that the cells with a single copy of MYCN showed significantly higher percentages of ACD than those with MYCN amplification. Moreover, suppression of MYCN in MYCN-amplified cells caused ACD, whereas expression of MYCN in MYCN-nonamplified cells enhanced symmetric cell division. Furthermore, we demonstrate that centrosome inheritance follows a definite rule in ACD: The daughter centrosome with younger mother centriole is inherited to the daughter cell with NuMA preferentially localized to the cell cortex, whereas the mother centrosome with the older mother centriole migrates to the other daughter cell. Thus, the mechanisms of cell division of ACD or symmetric cell division and centrosome inheritance are recapitulated in human cancer cells, and these findings may facilitate studies on cancer stem cells.
2nd workshop on ubiquitous technologies to augment the human mind: towards the knowledge log

Lifelogging technologies, the use of sensing technologies to analyze and record one's lives, is on the rise. Products from industry and research in academia currently focus on using the collected data to support health and fitness. Given these trends, it is only a matter of time before we see mobile sensing technology applied to cognitive tasks, enabling novel research directions and use cases. In this workshop, we explore the implications of "knowledge logging", how to record and track what we read, learn, comprehend and how this impacts research towards mind augmentation. The goal of this workshop is to combine innovations in ubiquitous computing with basic research in psychology and cognitive science. The aim is to bring mind augmentation technologies from a niche application in rehabilitation to a mainstream technology and initiating a major change in the way we use technology to externalize our mind. This workshop will bring together researchers, designers and practitioners at the intersection of technology and cognitive psychology to discuss elements and viewpoints of knowledge logging, inferring cognitive states and extending our perception.
Biological roles of oligosaccharides: all of the theories are correct

Abstract Many different theories have been advanced concerning the biological roles of the oligosaccharide units of individual classes of glycoconjugates. Analysis of the evidence indicates that while all of these theories are correct, exceptions to each can also be found. The biological roles of oligosaccharides appear to span the spectrum from those that are trivial, to those that are crucial for the development, growth, function or survival of an organism. Some general principles emerge. First, it is difficult to predict a priori the functions a given oligosaccharide on a given glycoconjugate might be mediating, or their relative importance to the organism. Second, the same oligosaccharide sequence may mediate different functions at different locations within the same organism, or at different times in its ontogeny or life cycle. Third, the more specific and crucial biological roles of oligosaccharides are often mediated by unusual oligosaccharide sequences, unusual presentations of common terminal sequences, or by further modifications of the sugars themselves. However, such oligosaccharide sequences are also more likely to be targets for recognition by pathogenic toxins and microorganisms. As such, they are subject to more intra- and inter-species variation because of ongoing host—pathogen interactions during evolution. In the final analysis, the only common features of the varied functions of oligosaccharides are that they either mediate ‘specific recognition’ events or that they provide ‘modulation’ of biological processes. In so doing, they generate much of the functional diversity required for the development and differentiation of complex organisms, and for their interactions with other organisms in the environment.
Quantitative analysis of human parvovirus B19 DNA in maternal and fetal serum, and amniotic fluid during an early stage of pregnancy

Simple and accurate diagnosis of vertical transmission of human parvovirus B19 (B19V) infection remains an important issue in pregnancy. There are few reports on quantitative analysis of B19V in amniotic fluids. Quantitative estimation of B19V DNA in amniotic fluids was comparerd with those in maternal or fetal serum obtained at an early stage of pregnancy with possible mother‐to‐fetus transmission. All pregnant women contracted B19V infection between 13 to 14 weeks gestation. The B19V DNA amount in 3 maternal serum and amniotic fluid sample pairs collected between 16 to 27 weeks gestation was quantified by a real‐time polymerase chain reaction assay. Serum from 2 fetuses was included. The B19V DNA concentrations in maternal sera and amniotic fluids ranged from 104 to 105 copies/ml and from 107 to 108 copies/ml, respectively. The B19V DNA in the amniotic fluids concentration coincided with those of each fetal serum. The concentrations in amniotic fluids are 100 to 5,000 times higher than in those of maternal sera, and corresponded to the matching fetal serum. Amniotic fluids may substitute for the fetal sera in terms of quantitative estimation of fetal B19V infection at an early stage of pregnancy. J. Med. Virol. 87:683–685, 2015. © 2015 Wiley Periodicals, Inc.
Design of a model-generated repository as a service for USDL

SAP and its research partners have been developing a language for describing details of Services from various viewpoints called the Unified Service Description Language (USDL [12]. At the time of writing, version 3.0 describes technical implementation aspects of services, as well as stakeholders, pricing, lifecycle, and availability. Work is also underway to address other business and legal aspects of services. This language is designed to be used in service portfolio management, with a repository of service descriptions being available to various stakeholders in an organisation to allow for service prioritisation, development, deployment and lifecycle management. The structure of the USDL metadata is specified using an object-oriented metamodel that conforms to UML, MOF and EMF Ecore. As such it is amenable to code generation for implementations of repositories that store service description instances. Although Web services toolkits can be used to make these programming language objects available as a set of Web services, the practicalities of writing distributed clients against over one hundred class definitions, containing several hundred attributes, will make for very large WSDL interfaces and highly inefficient "chatty" implementations. This paper gives the high-level design for a completely model-generated repository for any version of USDL (or any other data-only metamodel), which uses the Eclipse Modelling Framework's Java code generation, along with several open source plugins to create a robust, transactional repository running in a Java application with a relational datastore. However, the repository exposes a generated WSDL interface at a coarse granularity, suitable for distributed client code and user-interface creation. It uses heuristics to drive code generation to bridge between the Web service and EMF granularities.
A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation

Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward-constrained regression (FCR) manner. The proposed algorithm selects significant kernels one at a time, while the leave-one-out (LOO) test score is minimized subject to a simple positivity constraint in each forward stage. The model parameter estimation in each forward stage is simply the solution of jackknife parameter estimator for a single parameter, subject to the same positivity constraint check. For each selected kernels, the associated kernel width is updated via the Gauss-Newton method with the model parameter estimate fixed. The proposed approach is simple to implement and the associated computational cost is very low. Numerical examples are employed to demonstrate the efficacy of the proposed approach.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1343 Scalable Queries over Log Database Collections

Zhu, M. 2016. Scalable Queries over Log Database Collections. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1343. 51 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9472-8. In industrial settings, machines such as trucks, hydraulic pumps, etc. are widely distributed at different geographic locations where sensors on machines produce large volumes of data. The data produced is stored locally in autonomous databases called log databases. The collection of log databases is dynamically changing when new sites are dynamically added or removed from the federation. In this application context, an efficient way to search and analyze passed behavior of products in use is desired. To enable scalable queries over collections of distributed and autonomous log databases we developed the FLOQ (Fused LOg database Query processor) system, which provides a global view of the working status of all machines on the sites through a meta-database integrating the dynamic log database collection. A particular challenge in this scenario is a scalable way to process numerical queries that identify anomalies by joining data from the metadatabase with data selected from the collection of distributed and autonomous log databases. The Thesis describes the architecture of FLOQ. In particular different strategies to execute numerical queries over log database collections are investigated. FLOQ allows both the meta-database and the log databases to be stored in multiple formats using different kinds of data managers. FLOQ provides general and extensible mechanisms for efficient processing of queries over different kinds of distributed data sources. Minpeng Zhu, Department of Information Technology, Box 337, Uppsala University, SE-75105 Uppsala, Sweden.
The Application of Rock Pyrolysis Parameters in Predicting Shale Oil Favorable Area

Gulong depression is one of the inheritance deposition and subsidence center, also is the most developed secondary structural belt in Songliao Basin. In this research area, the total organic carbon TOC content of the shale in Qingshankou Formation is mainly more than 1%. The organic matter of the shale in Qingshankou Formation has better types, typeIis major and followed by typeII. The maturity of the source rock in Qingshankou Formation of Gulong area is greater than 0.7%, and up to 1.8%, mainly in the mature-high mature stage. Since the shale of Qingshankou Formation has the features of great thickness, higher organic matter abundance, better type and mature-high mature stage, also it is located in the junction between lake facies and delta front facies with better brittle mineral content, so its the key area of the exploration of shale oil. In this text, find the areas which is S1 is more than 2 mg/g and the brittle mineral (quartz and feldspar) content is more than 50% in Gulong depression, and this areas are consistent with the distribution of industrial oil wells and low yield industrial oil wells in research area. This text provides a fast and effective method for the exploration and development of oil shale.