LLukas22/scidocs huggingface dataset:
Applications of Multilinear Forms to Cryptography

We study the problem of finding efficiently computable non-degenerate multilinear maps from G1 to G2, where G1 and G2 are groups of the same prime order, and where computing discrete logarithms in G1 is hard. We present several applications to cryptography, explore directions for building such maps, and give some reasons to believe that finding examples with n > 2
Automated Prototype Generation for Multi-color Karyotyping

This chapter presents an algorithm for automatically generating a prototype from multicolor karyotypes obtained via multi-spectral imaging of human chromosomes. The single representative prototype of the color karyotype that is generated represents the analytical integration of a group of karyotypes obtained via Multicolor Fluorescence In Situ Hybridization (MFISH) method. Multicolor karyotyping is a 24-color MFISH method that allows simultaneous screening of the genome. It allows for the detection of a wide variety of anomalies in human chromosomes, including subtle and complex rearrangements. Although, multicolor karyotyping allows visual detection of gross anomalies, misclassified pixels make manual examination difficult. Additionally, in the absence of prior knowledge of the anomaly, interpretation of the karyotypes can be ambiguous. In this study we have developed an automated method for the generation of a single representative prototype of the color karyotype, which assists the screening of chromosomal aberrations by computational removal of non-physiological anomalies. We hypothesize that generation of a single representative prototype of the color karyotype from multiple karyotypes (k) for a given specimen can highlight all the aberrations, while minimizing misclassified pixels arising from inconsistencies in sample preparation, hybridization and imaging procedures. A three-tier approach is implemented to achieve the generation of the representative color karyotype from a set of multiple (>2) karyotypes. The first step involves the automated extraction of individual chromosomes from each karyotype in the set, followed by chromosome straightening and size normalization. In the second step, the extracted and normalized chromosomes belonging to each of the 24 color classes are automatically assigned to a particular group (1, 2, 3, etc.) based on the ploidy level (monoploid, diploid, triploid, etc.), respectively. For automated group assignment, Bayesian classification is utilized to determine the probability that a particular chromosome belongs to a specific group based on the similarity between the chromosomes within the group. Similarity is evaluated X. Wu · S. Shah · F. Merchant ( ) Department of Computer Science, University of Houston, Houston, TX 77204, USA e-mail: fmerchan@Central.UH.EDU F. Merchant Department of Engineering Technology, University of Houston, Houston, TX 77204, USA M.E. Celebi, G. Schaefer (eds.), Color Medical Image Analysis, Lecture Notes in Computational Vision and Biomechanics 6, DOI 10.1007/978-94-007-5389-1_8, © Springer Science+Business Media Dordrecht 2013 145
Femur and humerus length in trisomy 21 fetuses at 11-14 weeks of gestation.

OBJECTIVE
To determine the value of measuring fetal femur and humerus length at 11-14 weeks of gestation in screening for chromosomal defects.


METHODS
Femur and humerus lengths were measured using transabdominal ultrasound in 1018 fetuses immediately before chorionic villus sampling for karyotyping at 11-14 weeks of gestation. In the group of chromosomally normal fetuses, regression analysis was used to determine the association between long bone length and crown-rump length (CRL). Femur and humerus lengths in fetuses with trisomy 21 were compared with those of normal fetuses.


RESULTS
The median gestation was 12 (range, 11-14) weeks. The karyotype was normal in 920 fetuses and abnormal in 98, including 65 cases of trisomy 21. In the chromosomally normal group the fetal femur and humerus lengths increased significantly with CRL (femur length = - 6.330 + 0.215 x CRL in mm, r = 0.874, P < 0.0001; humerus length = - 6.240 + 0.220 x CRL in mm, r = 0.871, P < 0.0001). In the Bland-Altman plot the mean difference between paired measurements of femur length was 0.21 mm (95% limits of agreement - 0.52 to 0.48 mm) and of humerus length was 0.23 mm (95% limits of agreement - 0.57 to 0.55 mm). In the trisomy 21 fetuses the median femur and humerus lengths were significantly below the appropriate normal mean for CRL by 0.4 and 0.3 mm, respectively (P = 0.002), but they were below the respective 5th centile of the normal range in only six (9.2%) and three (4.6%) of the cases, respectively.


CONCLUSION
At 11-14 weeks of gestation the femur and humerus lengths in trisomy 21 fetuses are significantly reduced but the degree of deviation from normal is too small for these measurements to be useful in screening for trisomy 21.
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Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring

The synergy of computational and physical network components leading to the Internet of Things, Data and Services has been made feasible by the use of Cyber Physical Systems (CPSs). CPS engineering promises to impact system condition monitoring for a diverse range of fields from healthcare, manufacturing, and transportation to aerospace and warfare. CPS for environment monitoring applications completely transforms human-to-human, human-to-machine and machine-to-machine interactions with the use of Internet Cloud. A recent trend is to gain assistance from mergers between virtual networking and physical actuation to reliably perform all conventional and complex sensing and communication tasks. Oil and gas pipeline monitoring provides a novel example of the benefits of CPS, providing a reliable remote monitoring platform to leverage environment, strategic and economic benefits. In this paper, we evaluate the applications and technical requirements for seamlessly integrating CPS with sensor network plane from a reliability perspective and review the strategies for communicating information between remote monitoring sites and the widely deployed sensor nodes. Related challenges and issues in network architecture design and relevant protocols are also provided with classification. This is supported by a case study on implementing reliable monitoring of oil and gas pipeline installations. Network parameters like node-discovery, node-mobility, data security, link connectivity, data aggregation, information knowledge discovery and quality of service provisioning have been reviewed.
Pomalidomide alone or in combination with low-dose dexamethasone in relapsed and refractory multiple myeloma: a randomized phase 2 study.

This multicenter, open-label, randomized phase 2 study assessed the efficacy and safety of pomalidomide (POM) with/without low-dose dexamethasone (LoDEX) in patients with relapsed/refractory multiple myeloma (RRMM). Patients who had received ≥2 prior therapies (including lenalidomide [LEN] and bortezomib [BORT]) and had progressed within 60 days of their last therapy were randomized to POM (4 mg/day on days 1-21 of each 28-day cycle) with/without LoDEX (40 mg/week). The primary end point was progression-free survival (PFS). In total, 221 patients (median 5 prior therapies, range 1-13) received POM+LoDEX (n = 113) or POM (n = 108). With a median follow-up of 14.2 months, median PFS was 4.2 and 2.7 months (hazard ratio = 0.68, P = .003), overall response rates (ORRs) were 33% and 18% (P = .013), median response duration was 8.3 and 10.7 months, and median overall survival (OS) was 16.5 and 13.6 months, respectively. Refractoriness to LEN, or resistance to both LEN and BORT, did not affect outcomes with POM+LoDEX (median PFS 3.8 months for both; ORRs 30% and 31%; and median OS 16 and 13.4 months). Grade 3-4 neutropenia occurred in 41% (POM+LoDEX) and 48% (POM); no grade 3-4 peripheral neuropathy was reported. POM+LoDEX was effective and generally well tolerated and provides an important new treatment option for RRMM patients who have received multiple prior therapies. This trial was registered at www.clinicaltrials.gov as #NCT00833833.
Antibodies to core antigen of hepatitis B virus in patients on renal replacement therapy: association with demographic, clinical and laboratory data.

BACKGROUND
Total antibodies to core antigen of hepatitis B virus (anti-HBc) are a marker for previous or current infection with hepatitis B virus (HBV). Our aim was to examine the prevalence and incidence of anti-HBc in relation to demographic, clinical and laboratory data of patients treated with intermittent hemodialysis (IHD).


METHODS
Predictors for anti-HBc positivity were evaluated in prevalence IHD patients with negative testing for surface antigen of HBV (HBsAg, n = 1,105) using the stepwise backward regression analysis. Patients starting IHD (n = 336) were introduced into the one-year prospective study evaluating seroconversion for anti-HBc.


RESULTS
Anti-HBc positivity (19.5% of all patients) was predicted by lack of vaccination against HBV with developed protective titer of antibodies to HBsAg (beta = 0.592, p = 0.000), vintage of renal replacement therapy (RRT, beta = 0.206, p = 0.000), history of hepatitis (beta = 0.101, p = 0.000), and activity of alanine aminotransferase (beta = 0.057, p = 0.037). In 85 prospective patients who finished first IHD year, seroconversion rate for anti-HBc was 1.23 episodes/100 patient-years.


CONCLUSIONS
Lack of or not effective vaccination against HBV is the strongest predictor for prevalence of anti-HBc positivity in RRT patients. Periodical determination of anti-HBc, usually not required, may be helpful in evaluation of current epidemiological status and risk for further HBV infection in dialysis centers.
Comparing the subjective, psychomotor, and physiological effects of intravenous hydromorphone and morphine in healthy volunteers

Rationale: The psychopharmacological profile of hydromorphone, an opioid that has been used extensively for many years for post-operative pain management, has not been adequately characterized in non-drug abusers. Objectives: To characterize the subjective, psychomotor, and physiological effects of a range of single doses of hydromorphone in non-drug-abusing volunteers and to compare the effects of hydromorphone with that of morphine, a benchmark mu opioid agonist. Methods: Subjects in a six-session study were injected in an upper extremity vein with 0, 0.33, 0.65, 1.3 mg/70 kg hydromorphone, and 5 and 10 mg/70 kg morphine, using a randomized, double-blind, crossover design. Results: Hydromorphone increased scores on the pentobarbital-chlorpromazine-alcohol group and lysergic acid diethylamide scales and decreased scores on the benzedrine group scale of the Addiction Research Center Inventory, increased adjective checklist ratings of ("dry mouth", "flushing", and "nodding", and increased visual analog scale ratings indicative of both pleasant (e.g., drug liking) and unpleasant (e.g., "feel bad") effects. The subjective effects of morphine at putatively equianalgesic doses to those of hydromorphone were similar to those of hydromorphone, but in some cases of lesser magnitude. Psychomotor impairment was modest with hydromorphone and absent with morphine. Both opioids produced dose-dependent decreases in pupil size. A relative potency analysis indicated that hydromorphone was 10 times as potent as morphine (1 mg hydromorphone=10 mg morphine). Conclusions: The results of this study demonstrate that 0.33–1.3 mg hydromorphone had orderly, dose-related effects on subjective, psychomotor, and physiological variables, and similar effects to those of a benchmark mu opioid agonist, morphine.
The regeneration of stellar bars by tidal interactions: numerical simulations of fly-by encounters

The regeneration of stellar bars by tidal interactions. Numerical simulations of fly-by encounters. ABSTRACT We study the regeneration of stellar bars triggered by a tidal interaction, using numerical simulations of either purely stellar or stellar+gas disc galaxies. We find that interactions which are sufficiently strong to regenerate the bar in the purely stellar models do not lead to a regeneration in the dissipative models, owing to the induced gas inflow in those models. In models in which the bar can be regenerated, we find a tight correlation between the strength and the pattern speed of the induced bar. This relation can be explained by a significant radial redistribution of angular momentum in the disc due to the interaction, similar to the processes and correlations found for isolated barred spirals. We furthermore show that the regenerated bars show the same dynamical properties as their isolated counterparts.
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems

Recommender systems apply data mining and machine learning techniques for filtering unseen information and can predict whether a user would like a given item. This paper focuses on gray-sheep users problem responsible for the increased error rate in collaborative filtering based recommender systems. This paper makes the following contributions: we show that (1) the presence of gray-sheep users can affect the performance – accuracy and coverage – of the collaborative filtering based algorithms, depending on the data sparsity and distribution; (2) gray-sheep users can be identified using clustering algorithms in offline fashion, where the similarity threshold to isolate these users from the rest of community can be found empirically. We propose various improved centroid selection approaches and distance measures for the K-means clustering algorithm; (3) content-based profile of gray-sheep users can be used for making accurate recommendations. We offer a hybrid recommendation algorithm to make reliable recommendations for gray-sheep users. To the best of our knowledge, this is the first attempt to propose a formal solution for gray-sheep users problem. By extensive experimental results on two different datasets (MovieLens and community of movie fans in the FilmTrust website), we showed that the proposed approach reduces the recommendation error rate for the gray-sheep users while maintaining reasonable computational performance. 2013 Elsevier Ltd. All rights reserved.
Role of collagen and other organics in the mechanical properties of bone

The mechanical properties of bone material are determined by the relative amounts of its 3 major constituents: mineral, water, and organics (mainly type I collagen); by the quality of these components; and by how the resulting material is arranged in space. For our purposes, the mechanical properties of bone can be summed up as follows: modulus of elasticity, yield stress and yield strain, post-yield stress and post-yield strain, and the total area under the stress-strain curve. Also important are some fracture mechanics properties, but these are not discussed here. A typical tensile stress-strain curve for a bone specimen is shown in Fig. 1. The modulus of elasticity shows how stiff the bone material is. Indeed, stiffness is the prime property of bone, distinguishing it from tendon, which has much less tensile stiffness, almost no shear stiffness, but which is nearly as strong and is much tougher. Yield stress and strain determine how much energy can be absorbed before irreversible changes take place. Post-yield stress and strain determine mainly how much energy can be absorbed after yield but before fracture. Irreversible changes take place at yield, caused by microdamage. The total area under the stress-strain curve is equivalent to the work that must be done per unit volume on the specimen before it breaks. Fracture mechanics properties show the extent to which bone is resistant to crack initiation and to crack travel (which are different things and governed by somewhat different features). In fact, crack travel resistance is given rather well by post-yield stress and strain.
The initial time layer problem and the quasineutral limit in the semiconductor drift-diffusion model

The classical time-dependent drift-diffusion model for semiconductors is considered for small scaled Debye length (which is a singular perturbation parameter multiplying the Laplace operator in the Poisson equation). The corresponding limit is carried out on both the dielectric relaxation time scale and the diffusion time scale. The latter is a quasineutral limit and the former can be interpreted as an initial time layer problem.
Measuring e-government service value with the E-GOVSQUAL-RISK model

Purpose – The purpose of this paper is to study the e-government service quality and risk perceptions of personal income taxpayers on e-government service value. Design/methodology/approach – The study uses qualitative in-depth interview and content analysis to explore the determinants of e-government service quality and risk dimensions of e-government service value. Findings – The findings suggest that perceived value of e-government service is e-government service quality, which consists of service design, web site design, technical support, and customer support quality. On the other hand, the three perceived risk concerns are performance, privacy, and financial audit risk. Research limitations/implications – The study interviews the small samples of income taxpayers to develop the determinants of e-government service value, future studies should utilize a quantitative study to strengthen the results. Future researchers could also expand the results to other groups of taxpayers (e.g. corporate tax) to explore and compare factors that contribute to e-government service value. Practical implications – The results can assist e-government service design not only to increase electronic service quality but also to reduce risk facets in order to enhance e-government service value and enlarge acceptance from income taxpayers. E-government service providers can use the research model to detect electronic service weaknesses and risks so that the appropriate resources can be allocated to improve the system more effectively. Originality/value – This study outlines e-government service value in terms of e-government service quality and risk perspectives or the E-GOVSQUAL-RISK model which contributes to the different knowledge on e-government service.
On Group Nearest Group Query Processing

Given a data point set D, a query point set Q, and an integer k, the Group Nearest Group (GNG) query finds a subset ω (|ω| ≤ k)of points from Dsuch that the total distance from all points in Q to the nearest point in ω is not greater than any other subset ω' (|ω'| ≤ k) of points in D. GNG query is a partition-based clustering problem which can be found in many real applications and is NP-hard. In this paper, Exhaustive Hierarchical Combination (EHC) algorithm and Subset Hierarchial Refinement (SHR) algorithm are developed for GNG query processing. While EHC is capable to provide the optimal solution for k = 2, SHR is an efficient approximate approach that combines database techniques with local search heuristic. The processing focus of our approaches is on minimizing the access and evaluation of subsets of cardinality k in D since the number of such subsets is exponentially greater than |D|. To do that, the hierarchical blocks of data points at high level are used to find an intermediate solution and then refined by following the guided search direction at low level so as to prune irrelevant subsets. The comprehensive experiments on both real and synthetic data sets demonstrate the superiority of SHR in terms of efficiency and quality.
Midregional proadrenomedullin predicts mortality and major adverse cardiac events in patients presenting with chest pain: results from the CHOPIN trial.

OBJECTIVES
Chest pain is a common complaint to emergency departments (EDs) and clinical risk factors are used to predict which patients are at risk for worse outcomes and mortality. The goal was to assess the novel biomarker midregional proadrenomedullin (MR-proADM) in prediction of mortality and major adverse cardiac events (MACE).


METHODS
This was a subanalysis of the CHOPIN study, a 16-center prospective trial that enrolled 2,071 patients presenting with chest pain within 6 hours of onset. The primary endpoint was 6-month all-cause mortality and the secondary endpoint was 30-day and 6-month MACE: ED visits or hospitalization for acute myocardial infarction, unstable angina, reinfarction, revascularization, and heart failure.


RESULTS
MR-proADM performed similarly to troponin (cTnI; c-statistic = 0.845 and 0.794, respectively) for mortality prediction in all subjects and had similar results in those with noncardiac diagnoses. MR-proADM concentrations were stratified by decile, and the cohort in the top decile had a 9.8% 6-month mortality risk versus 0.9% risk for those in the bottom nine deciles (p < 0.0001). MR-proADM, history of coronary artery disease (CAD), and hypertension were predictors of short-term MACE, while history of CAD, hypertension, cTnI, and MR-proADM were predictors of long-term MACE.


CONCLUSIONS
In patients with chest pain, MR-proADM predicts mortality and MACE in all-comers with chest pain and has similar prediction in those with a noncardiac diagnosis. This exploratory analysis is primarily hypotheses-generating and future prospective studies to identify its utility in risk stratification should be considered.
ALS and other motor neuron diseases.

PURPOSE OF REVIEW
This review describes the most common motor neuron disease, ALS. It discusses the diagnosis and evaluation of ALS and the current understanding of its pathophysiology, including new genetic underpinnings of the disease. This article also covers other motor neuron diseases, reviews how to distinguish them from ALS, and discusses their pathophysiology.


RECENT FINDINGS
In this article, the spectrum of cognitive involvement in ALS, new concepts about protein synthesis pathology in the etiology of ALS, and new genetic associations will be covered. This concept has changed over the past 3 to 4 years with the discovery of new genes and genetic processes that may trigger the disease. As of 2014, two-thirds of familial ALS and 10% of sporadic ALS can be explained by genetics. TAR DNA binding protein 43 kDa (TDP-43), for instance, has been shown to cause frontotemporal dementia as well as some cases of familial ALS, and is associated with frontotemporal dysfunction in ALS.


SUMMARY
The anterior horn cells control all voluntary movement: motor activity, respiratory, speech, and swallowing functions are dependent upon signals from the anterior horn cells. Diseases that damage the anterior horn cells, therefore, have a profound impact. Symptoms of anterior horn cell loss (weakness, falling, choking) lead patients to seek medical attention. Neurologists are the most likely practitioners to recognize and diagnose damage or loss of anterior horn cells. ALS, the prototypical motor neuron disease, demonstrates the impact of this class of disorders. ALS and other motor neuron diseases can represent diagnostic challenges. Neurologists are often called upon to serve as a "medical home" for these patients: coordinating care, arranging for durable medical equipment, and leading discussions about end-of-life care with patients and caregivers. It is important for neurologists to be able to identify motor neuron diseases and to evaluate and treat patients affected by them.