Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypoxia-regulated components of the U4/U6.U5 tri-small nuclear riboprotein complex: possible role in autosomal dominant retinitis pigmentosa

Purpose High oxygen consumption and cyclical changes related to dark-adaptation are characteristic of the outer retina. Oxygenation changes may contribute to the selective vulnerability of the retina in retinitis pigmentosa (RP) patients, especially for those forms involving genes with global cellular functions. Genes coding for components of the U4/U6.U5 tri small nuclear ribonucleoprotein (tri-snRNP) complex of the spliceosome stand out, because mutations in four genes cause RP, i.e., RP9 (PAP1), RP11 (PRPF31), RP13 (PRPF8), and RP18 (PRPF3), while there is no degeneration outside the retina despite global expression of these genes. With the assumption that variable oxygenation plays a role in RP forms related to pre-mRNA splicing and the retina and brain are similar, we searched a data collection of ischemia-hypoxia regulated genes of the brain for oxygen regulated genes of the U4/U6.U5 tri-snRNP complex. Methods A database of ischemia-hypoxia response (IHR) genes in the brain was generated from gene expression profiling studies [n=24]. Public databases (NCBI) were searched for RP genes with global function that are expressed in the brain. From the IHR gene list, we extracted genes that were directly related to retinal degeneration through a listed mutation (OMIM, Retnet, RISN). The database was then examined for indirect links to RP forms affecting the U4/U6.U5 tri-snRNP complex by searching for IHR genes contributing to this complex. Potential expression of matched genes in the retina was ascertained using NEIBank. Immunohistochemistry was used to localize a selected protein of the U4/U6.U5 tri-snRNP complex in cynomolgus monkey and human retina specimens. Results The approach identified genes that cause retinal degeneration (CNGB1, SEMA4A, RRG4) or developmental changes (SOX2) when mutated. One IHR gene, Pim1, is the immediate binding partner for PAP1 (RP9). Three IHR genes linked the U4/U6.U5 tri-snRNP complex to regulation by oxygenation: PRPF4; SART1, also known as 110 kDa SR-related protein of the U4/U6.U5 tri-snRNP or as hypoxia associated factor (HAF); and LSM8, U6 snRNA-associated Sm-like protein. The 110 kDa SR-related protein was localized in all retinal cells including photoreceptors. Conclusions Regulation by changes in oxygenation within the U4/U6.U5 tri-snRP complex could be particularly important for photoreceptors where oxygen consumption follows a circadian rhythm. If the U4/U6.U5 tri-snRP complex is already impaired by mutations in any of the four genes causing RP, it may be unable to follow properly the physiological demands of oxygenation which are mediated by the four hypoxia-regulated proteins emerging in this study. Selective vulnerability may involve complex combinations of widely expressed genes, specific cellular functions and local energy availability.
Potentially inappropriate medications defined by STOPP criteria and the risk of adverse drug events in older hospitalized patients.

BACKGROUND Previous studies have not demonstrated a consistent association between potentially inappropriate medicines (PIMs) in older patients as defined by Beers criteria and avoidable adverse drug events (ADEs). This study aimed to assess whether PIMs defined by new STOPP (Screening Tool of Older Persons' potentially inappropriate Prescriptions) criteria are significantly associated with ADEs in older people with acute illness. METHODS We prospectively studied 600 consecutive patients 65 years or older who were admitted with acute illness to a university teaching hospital over a 4-month interval. Potentially inappropriate medicines were defined by both Beers and STOPP criteria. Adverse drug events were defined by World Health Organization-Uppsala Monitoring Centre criteria and verified by a local expert consensus panel, which also assessed whether ADEs were causal or contributory to current hospitalization. Hallas criteria defined ADE avoidability. We compared the proportions of patients taking Beers criteria PIMs and STOPP criteria PIMs with avoidable ADEs that were causal or contributory to admission. RESULTS A total of 329 ADEs were detected in 158 of 600 patients (26.3%); 219 of 329 ADEs (66.6%) were considered causal or contributory to admission. Of the 219 ADEs, 151 (68.9%) considered causal or contributory to admission were avoidable or potentially avoidable. After adjusting for age, sex, comorbidity, dementia, baseline activities of daily living function, and number of medications, the likelihood of a serious avoidable ADE increased significantly when STOPP PIMs were prescribed (odds ratio, 1.847; 95% confidence interval [CI], 1.506-2.264; P < .001); prescription of Beers criteria PIMs did not significantly increase ADE risk (odds ratio, 1.276; 95% CI, 0.945-1.722; P = .11). CONCLUSION STOPP criteria PIMs, unlike Beers criteria PIMs, are significantly associated with avoidable ADEs in older people that cause or contribute to urgent hospitalization.
Fast Discovery of Group Lag Correlations in Streams

The study of data streams has received considerable attention in various communities (theory, databases, data mining, networking), due to several important applications, such as network analysis, sensor monitoring, financial data analysis, and moving object tracking. Our goal in this article is to monitor multiple numerical streams and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations and anticorrelations are frequent and very interesting in practice. For example, a decrease in interest rates typically precedes an increase in house sales by a few months; higher amounts of fluoride in drinking water may lead to fewer dental cavities some years later. Other lag settings include network analysis, sensor monitoring, financial data analysis, and tracking of moving objects. Such data streams are often correlated or anticorrelated, but with unknown lag. We propose BRAID, a method of detecting lag correlations among data streams. BRAID can handle data streams of semi-infinite length incrementally, quickly, and with small resource consumption. However, BRAID requires space and time quadratic on a number of streams k. We also propose ThinBRAID, which is even faster than BRAID, requiring O(k) space and time per time tick. Our theoretical analysis shows that BRAID/ThinBRAID can estimate lag correlations with little or, often, with no error. Our experiments on real and realistic data show that BRAID and ThinBRAID detect the correct lag perfectly most of the time (the largest relative error was about 1%), while they are significantly faster (up to 40,000 times) than the naïve implementation.
A fetch-and-op implementation for parallel computers

A fetch-and-op circuit is described. A bit-serial circuit-switched implementation requires only five gates per node in a binary tree. This circuit is also capable of test-and-set primitives (priority circuits) and swap operators, as well as AND and OR operations used in SIMD (single-instruction, multiple-data-stream) tests such as branch on all carries set. It provides an alternative implementation for the combining fetch-and-add circuit to the one designed for the Ultracomputer project; this implementation is suited to SIMD computing and can be adapted to MIMD (multiple-instruction, multiple-data stream) computing. <<ETX>>
Influence diagrams with partially ordered preferences

A vented cover assembly for a hydraulic fluid reservoir comprising a socket ring mountable in a large opening of the reservoir wall, a filter casing attachable to the socket ring by means of a first bayonet lock, and a cap attachable to the filter casing by means of a second bayonet lock, following insertion of a filter cartridge into the filter casing. The second bayonet lock has a higher release resistance than the first bayonet lock, for the removal of the filter casing, filter cartridge and cap from the socket ring as a closed filter subassembly. Air flowing into or out of the fluid reservoir is strained by the filter cartridge.
Small Molecule Targeting of Protein–Protein Interactions through Allosteric Modulation of Dynamics

The protein–protein interaction (PPI) target class is particularly challenging, but offers potential for “first in class” therapies. Most known PPI small molecules are orthosteric inhibitors but many PPI sites may be fundamentally intractable to this approach. One potential alternative is to consider more attractive, remote small molecule pockets; however, on the whole, allostery is poorly understood and difficult to discover and develop. Here we review the literature in order to understand the basis for allostery, especially as it can apply to PPIs. We suggest that the upfront generation of sophisticated and experimentally validated dynamic models of target proteins can aid in target choice and strategy for allosteric intervention to produce the required functional effect.
Association between Serum Ferritin and Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Background and Aims. CIN is a major and serious complication following PCI in patients with ACS. It is unclear whether a higher serum ferritin level is associated with an increased risk of CIN in high-risk patients. Thus, we conducted this study to assess the predictive value of SF for the risk of CIN after PCI. Methods. We prospectively examined SF levels in 548 patients with ACS before undergoing PCI. Multivariate logistic regression analysis was used to analyze the independent risk factors for CIN. The ROC analysis was performed to evaluate the predictive value of SF for CIN. Results. CIN occurred in 96 patients. Baseline SF was higher in patients who developed CIN compared to those who did not (257.05 ± 93.98 versus 211.67 ± 106.65; P < 0.001). Multivariate logistic regression analysis showed that SF was an independent predictor of CIN (OR, 1.008; 95% CI, 1.003–1.013; P = 0.002). The area under ROC curve for SF was 0.629, and SF > 180.9 μg/L predicted CIN with sensitivity of 80.2% and specificity of 41.4%. Conclusion. Our data show that a higher SF level was significantly associated with an increased risk of CIN after PCI.
Degradation of GaN High Electron Mobility Transistors under High-power and High-temperature Stress

GaN HEMTs (High Electron Mobility Transistors) are promising candidates for high power and high frequency applications but their reliability needs to be established before their wide deployment can be realized. In this thesis, degradation mechanisms of GaN HEMTs under high-power and high-temperature stress have been studied. A novel technique to extract activation energy of degradation rate from measurements on a single device has been proposed. High-power and high-temperature stress has revealed two sequential degradation mechanisms where the gate current degrades first and saturates only after which the drain current shows significant degradation. A study of the semiconductor surface of delaminated degraded devices shows formation of grooves and pits at the gate edge on the drain side. Electrical degradation is shown to directly correlate with structural degradation. Also, higher junction temperature is shown to results in more severe structural degradation. Thesis supervisor: Jesus A. del Alamo Title: Professor of Electrical Engineering
On the Relationship between Redundancy and Decoding Error in Slepian-Wolf Coding

The relationship between redundancy and decoding error in Slepian-Wolf coding with one encoder is investigated. For any memoryless source-side information pair (X,Y) = {(X<sub>i</sub>,Y<sub>i</sub>)}<sub>iinfin=1</sub> with finite alphabet, the redundancy R<sub>n</sub>(epsi<sub>n</sub>) of Slepian-Wolf coding is defined as the minimum of the difference between the compression rate of any Slepian-Wolf code resulting from coding X <sub>1</sub> <sup>n</sup> with decoding error epsi<sub>n</sub>, and the conditional entropy H(X|Y). When epsi<sub>n</sub> denotes the block error probability in decoding, it is shown that under mild assumptions, R<sub>n</sub>(epsi<sub>n</sub>) = thetas(radic(-(log epsi<sub>n </sub>)/n)). When epsi<sub>n</sub> denotes the average symbol error in decoding, this relationship is further shown to hold for fixed-rate Slepian-Wolf coding
Findings from introducing state-of-the-art real-time techniques in vehicle industry

The use of state-of-the-art real-time techniques in industry is still rare. The reason for this is three-folded: (1) the lack of commercially available tools, (2) the lack of methodologies that considers real-time throughout the complete development process, and (3) the lack of competence in real-time theory among industrial practitioners. In this paper we present a case study of introducing stateof-the-art real-time techniques in industry. The case study was done as a collaboration between Malardalen University and the industrial partners Volvo Construction Equipment AB (VCE) and TietoEnator ArosTech. VCE develops computer control systems for construction equipment vehicles, such as wheel loaders, graders, and articulated haulers. TietoEnator ArosTech is a firm of consultants with expertise competence in the area of embedded real-time systems. We will present both the used methodology and the findings from introducing this methodology in an industrial project. The methodology emphasis is on introducing timing requirements early in the design of a system and it relies on the use of a well defined design language. We will present our findings categorized into methodological aspects, technology transfer, and technical aspects. The main result reported can be summarized as “people, not paper, transfer technology”.
A NLP System of DCUMT in NTCIR-11 MedNLP-2: RNN for ICD/Time Entity Recognition and ICD Classification Tasks

This paper describes the medical NLP system developed at Dublin City University for participation in the Second Med- ical NLP Shared Task (MedNLP 2) in NTCIR-11 (1). This shared task is a Japanese task. Our system detects Interna- tional Classication of Diseases (ICD) and time entities and classies ICD entities. We participated in the task 1 which detects the ICD and time entities, and the task 2 which clas- sies the detected ICD entities among the ICD codes. Our system uses deep learning to learn and classify those entities. Our result was F1 score of 67.8 for the ICD entity recogni- tion task (task 1), 77.4 for the time entity recognition task (task 1), and 54.0 for the ICD classication task (task 2 for gold standard).
Redundancies in the linear inverse scattering

In this paper the role of view and frequency diversities in linear inverse scattering problems is analyzed in terms of the singular values behavior of the pertinent scattering operators. In order to obtain analytical results, the analysis is developed within a two-dimensional scalar far-zone configuration. Moreover, the canonical case of strip scatterers is considered.
Improved Tag Identification Method for reducing the Process Time of Tag Recognition

In recent years, radio frequency identification(RFID) technology has moved from obscurity into mainstream applications that speed up in identifying objects(e.g. manufactured goods, healthcare services, etc.) which affect our daily lives. However, there are several issues arises such as RFID tag collision problem which occurs due to the usage characteristics of radio frequency communication. Therefore, to answer these issues, we proposed the tag identification method which uses a multi-reader to minimize tag collision and to reduce the tag recognition time. The proposed method analyze the tag recognition time by applying the adaptive group separation(AGS) algorithm. Based on our experimental results, the proposed method shows the improvement rate of over 40% increased on processing time.
Measuring and Monitoring Time-Varying Information Asymmetry

This paper investigates whether standard measures of information asymmetry can detect the temporary increases in informed trading in periods before tender oer announcements and in periods preceding first rumors about bankruptcy filings. The empirical findings suggest that only three measures are able to detect the time-varying information asymmetry between informed and uninformed investors: the relative spread, the intraday price impact, and the Amihud measure. Surprisingly, these “mixed” simple measures that also have a pure liquidity component consistently outperform more complex measures, such as the adverse selection component of the spread and the order imbalance measures. This paper also demonstrates that monitoring the fluctuations in information asymmetry can help risk-averse uninformed investors better time the volatility of their portfolios, because the portfolios of stocks with the highest increase in information asymmetry in the past have consistently lower Sharpe ratios.
Effect of i.p. insulin administration on IGF1 and IGFBP1 in type 1 diabetes

In type 1 diabetes mellitus (T1DM), low concentrations of IGF1 and high concentrations of IGF-binding protein 1 (IGFBP1) have been reported. It has been suggested that these abnormalities in the GH–IGF1 axis are due to low insulin concentrations in the portal vein. We hypothesized that the i.p. route of insulin administration increases IGF1 concentrations when compared with the s.c. route of insulin administration. IGF1 and IGFBP1 concentrations in samples derived from an open-label, randomized cross-over trial comparing the effects of s.c. and i.p. insulin delivery on glycaemia were determined. T1DM patients were randomized to receive either 6 months of continuous i.p. insulin infusion (CIPII) through an implantable pump (MIP 2007C, Medtronic) followed by 6 months of s.c. insulin infusion or vice versa with a washout phase in between. Data from 16 patients who had complete measurements during both treatment phases were analysed. The change in IGF1 concentrations during CIPII treatment was 10.4 μg/l (95% CI −0.94, 21.7 μg/l; P=0.06) and during s.c. insulin treatment was −2.2 μg/l (95% CI −13.5, 9.2 μg/l; P=0.69). When taking the effect of treatment order into account, the estimated change in IGF1 concentrations was found to be 12.6 μg/l (95% CI −3.1, 28.5 μg/l; P=0.11) with CIPII treatment compared with that with s.c. insulin treatment. IGFBP1 concentrations decreased to −100.7 μg/l (95% CI −143.0, −58.3 μg/l; P<0.01) with CIPII treatment. During CIPII treatment, parts of the GH–IGF1 axis changed compared with that observed during s.c. insulin treatment. This supports the hypothesis that the i.p. route of insulin administration is of importance in the IGF1 system.
STOCHASTIC CONTROL DESIGN FOR STOCHASTIC UNCERTAIN TIME-DELAY SYSTEMS

In this paper, we investigate the stochastic output feedback control problem for a class of stochastic non-linear time-delay systems. The aim of this paper is to design a linear, delayless, and independent uncertainty control for all admissible uncertainties. The designed control ensures stochastically exponential stability in the mean square, independent of the time-delay. The sufficient conditions for the existence of such a control are proposed in terms of certain quadratic matrix inequalities. The simulations of applying the proposed method to a stochastic time-delay system subject to non-linear uncertainties are shown in a simple example. Copyright © 2005 IFAC
Spontaneous Remission of an Untreated, MYC and BCL2 Coexpressing, High-Grade B-Cell Lymphoma: A Case Report and Literature Review

Non-Hodgkin lymphomas (NHL) are a heterogeneous group of hematologic malignancies typically treated with multiagent chemotherapy. Rarely, spontaneous remissions can be observed, particularly in more indolent subtypes. The prognosis of aggressive NHL can be predicted using clinical and histopathologic factors. In aggressive B-cell NHL, the importance of MYC and BCL2 proto-oncogene coexpression (as assessed by immunohistochemistry) and high-grade histologic features are particularly noteworthy. We report a unique case of spontaneous remission in a patient with an aggressive B-cell NHL which harbored high-risk histopathologic features, including MYC protein expression at 70–80%, BCL2 protein expression, and morphologic features suggestive of high-grade B-cell lymphoma, NOS (formerly B-cell lymphoma unclassifiable with features intermediate between diffuse large B-cell lymphoma and Burkitt lymphoma [BCLU]). After undergoing a biopsy to confirm this diagnosis, he opted to forego curative-intent chemotherapy. The single, yet relatively large area of involvement noted on 18F-fluorodeoxyglucose positron emission tomography-computed tomography steadily resolved on subsequent follow-up studies. He remained without evidence of recurrence one year later, having never received treatment. This case emphasizes the potential for spontaneous remission in NHL and demonstrates that this phenomenon can be observed despite contemporary high-risk histopathologic features.
The Tragedy of the Commons in Cote d'lvoire Agriculture

Expansion of cultivated land diminishes the extent of forestlands or reduces the length of fallow periods and, hence, reduces the amount of natural vegetation. The increase in land under cultivation has a direct output-increasing effect at the cost of reducing natural capital and agricultural productivity. The evidence for western Cote d'lvoire is consistent with, and provides an explanation for, the declining agricultural productivity observed in Sub-Saharan Africa during the past few decades. This article uses a theoretical model to determine the level of land cultivation that maximizes village income, using data from Cote d'lvoire for 1985-87. An important part of the land is under common property, usually at the village level. The results show that farmers do not internalize even a small fraction of the external cost of biomass in their land allocation decisions. The lack of internalization of the social cost of the biomass resource leads to large income losses at the village level—as much as 14 perce.
Unsupervised language model adaptation using latent semantic marginals

We integrated the Latent Dirichlet Allocation (LDA) approach, a latent semantic analysis model, into unsupervised language model adaptation framework. We adapted a background language model by minimizing the Kullback-Leibler divergence between the adapted model and the background model subject to a constraint that the marginalized unigram probability distribution of the adapted model is equal to the corresponding distribution estimated by the LDA model – the latent semantic marginals. We evaluated our approach on the RT04 Mandarin Broadcast News test set and experimented with different LM training settings. Results showed that our approach reduces the perplexity and the character error rates using supervised and unsupervised adaptation. Index Terms: unsupervised LM adaptation, LSA marginals, Latent Dirichlet Allocation, Mandarin Broadcast News