Miracle-dz/UniFAR-FTUs huggingface dataset:
On Twisted Zeta-Functions at s=0

Let K be an abelian extension of a totally real number field k, K^+ its maximal real subfield and G=Gal(K/k). We have previously used twisted zeta-functions to define a meromorphic CG-valued function Phi_{K/k}(s) in a way similar to the use of partial zeta-functions to define the better-known function Theta_{K/k}(s). For each prime number p, we now show how the value Phi_{K/k}(0) combines with a p-adic regulator of semilocal units to define a natural Z_pG-submodule of Q_pG which we denote {frak S}_{K/k}. If p is odd and splits in k, our main theorem states that {frak S}_{K/k} is (at least) contained in Z_pG. Thanks to a precise relation between Phi_{K/k}(1-s) and Theta_{K/k}(s), this theorem can be reformulated in terms of (the minus part of) Theta_{K/k}(s) at s=1, making it an analogue of Deligne-Ribet and Cassou-Nogues' well-known integrality result concerning Theta_{K/k}(0). We also formulate some conjectures including a congruence involving Hilbert symbols that links {frak S}_{K/k} with the Rubin-Stark conjecture for K^+/k.
Sociodemographic differences in the severity and duration of disease amongst patients undergoing hip or knee replacement surgery.

BACKGROUND Differences in the use of hip and knee replacement by sex, age, ethnicity or socioeconomic status may lead to differences in disease severity between those who have surgery. METHODS Analyses used data collected from 117,736 patients in 2009-10 via the Patient Reported Outcome Measures (PROMs) programme in England. Adjusted differences were estimated in the Oxford Hip Score (OHS) or the Oxford Knee Score (OKS), both expressed on a scale from 0 to 48, and the proportion with longstanding problems (>5 years), expressed as odds ratios (ORs). RESULTS Women had more severe pain and disability than men on average (difference OHS 2.3 and OKS 3.3), but less often longstanding problems. Compared with white patients, average severity was higher in South Asian patients (difference OHS 2.7 and OKS 3.0) and in black patients (difference OHS 0.9 and OKS 1.6), who also more often had longstanding problems (OR 1.40 for hip and 1.54 for knee). Patients from deprived areas had more severe disease (difference OHS 3.6 and OKS 3.3 between least and most deprived quintile). CONCLUSIONS There is evidence that non-white and deprived patients tend to have hip and knee replacement surgery at a later stage in the course of their disease.
Effects of Miscut of PSS and MOVPE Growth Conditions on ( 11 2̄ 2 ) GaN 3 Effects of Miscut of Prestructured Sapphire Substrates and MOVPE Growth Conditions on ( 11 2̄ 2 ) Oriented GaN

In this work [1], the influence of sapphire mis-orientation on the quality of coalesced (11 2̄2 ) GaN layers grown on r-plane prestructured sapphire substrates (r-PSS) is investigated. It was found that the angle of the GaN (11 2̄ 2 ) plane towards the surface plane of the sapphire wafer can be adjusted by the mis-orientation of the substrate. Furthermore, we discovered that the c-direction of GaN is tilted by more than 1 ◦ towards the c-direction of the sapphire wafer. Moreover, the influence of the MOVPE growth temperature, V/III ratio and reactor pressure on the coalesced layer has been studied. While a high temperature and small V/III ratio are beneficial, the reactor pressure did not show any significant impact on the crystal quality and surface roughness.
Understanding acceptance decisions and identity associated with smartphones: A qualitative enquiry

This research project investigated how users accept smartphones and construct self and social identities around their devices. Working from the social constructionist paradigm and employing the perspective of symbolic interactionism to understand the acceptance decisions and choice, this research developed an integrated model of smartphone adoption through four empirical studies. The data were gathered from user self-reports on smartphones running on three leading operating platforms – iOS, BlackBerry OS, and Android. Acceptance decisions were analyzed in first two studies from the perspective of users’ experiences. Study 1 utilized an extension of technology acceptance model and analyzed influences of key product attributes on attitude and actual use through qualitative content analysis. Study 2 focused on both users and non-users of specific smartphones. Employing ethnographic decision tree modeling, this study proposed a model for smartphone acceptance. Using social identity theory as the analytical lens and qualitative content analysis as the research technique, Study 3 examined the ways social identities are formed based on specific smartphone use. Study 4 explored why users attach identification with their smartphones employing a hermeneutic circle framework. The results of these studies suggest that both pragmatic and hedonic attributes of smartphones are important for usage decisions. Identification, enjoyment, and strength of nomadic abilities were found to be important. The results also suggest that users form social identities around their devices by selfcategorizing themselves in celebrated user groups and self-enhancing their member status. Identification fulfils the need for legitimizing the commitment toward the device cued by positive contextual experiences and helps to hold a positive image to self and relevant others. The integrated theoretical understanding offered in this thesis illuminates smartphone adoption as a set of processes which unfolds over time based on users’ interactions with the object and the peers in relevant communities. This novel understanding, along with the separate findings of the studies contributes to IS theory and methodology. Implications for practice and directions for future research are also suggested by this research.
Improved Simplified Novel Method for Edge Detection in Grayscale Images Using Adaptive Thresholding

play a crucial role in digital image processing. In this paper, an improved simplified novel method is presented to improve the quality of edge detection in grayscale images. In this method, a 3x3 binary matrix is employed to process each and every pixel by means of vicinity. Each pixel is considered an input and by examining binary matrix, the edge pixel is specified and by utilizing conditions and adaptive thresholding of the algorithm, edges are displayed more clearly. This method not only detects edge in images but removes noise as well. A comparative study of different edge detection techniques like Sobel, Prewitt, Roberts, LoG, zero-cross, Canny, fuzzy techniques and SNM with the proposed technique is presented. The proposed technique gives better results in terms of smoothness, sharpness, continuity, true edges and execution time than the conventional edge detection techniques.
Intelligent collision avoidance control for large ships

In order to achieve precise collision avoidance for large ships, a novel intelligent collision avoidance control approach is presented in this paper. To obtain the precise collision avoidance information capability, a fuzzy set interpretation is developed to handle imprecise information. This allows the introduction of an innovative self-training optimizing search method. The optimizing process is based on the particle swarm optimization algorithm and off-line training data that is obtained from trial manoeuvres based on computer simulations. The resulting controller can decrease the ship operators' burden to deal with bridge data and help them to make timely and precise collision avoidance decision. The results show that the designed intelligent controller performed well to implement the optimizing control of ship collision avoidance.
Fast adaptive interpolation of multi-dimensional arrays in tensor train format

Using recently proposed tensor train format for the representation of multi-dimensional dense arrays (tensors) we develop a fast interpolation method to approximate the given tensor by using only a small number of its elements. The algorithm is based on DMRG scheme, known among the quantum chemistry society. It is modified to make an interpolation on the adaptive set of tensor elements. The latter is selected using the maximum-volume principle which was previously used for the cross approximation schemes for matrices and 3-tensors. The numerical examples includes the interpolation of one- and many-dimensional functions on the uniform grids.
The Next Linear Collider Test Accelerator

During the past several years, there has been tremendous progress on the development of the RF system and accelerating structures for a Next Linear Collider (NLC). Developments include high-power klystrons, RF pulse compression systems and damped/detuned accelerator structures to reduce wakefields. In order to integrate these separate development efforts into an actual X-band accelerator capable of accelerating the electron beams necessary for an NLC, we are building an NLC Test Accelerator (NLCTA). The goal of the NLCTA is to bring together all elements of the entire accelerating system by constructing and reliably operating an engineered model of a high-gradient linac suitable for the NLC. The NLCTA will serve as a testbed as the design of the NLC evolves. In addition to testing the RF acceleration system, the NLCTA is designed to address many questions related to the dynamics of the beam during acceleration. In this paper, we will report on the status of the design, component development, and construction of the NLC Test Accelerator. <<ETX>>
ConGen: An Application Specific DRAM Memory Controller Generator

The increasing gap between the bandwidth requirements of modern Systems on Chip (SoC) and the I/O data rate delivered by Dynamic Random Access Memory (DRAM), known as the Memory Wall, limits the performance of today's data-intensive applications. General purpose memory controllers use online scheduling techniques in order to increase the memory bandwidth. Due to a limited buffer depth they only have a local view on the executed application. However, numerous applications possess regular or fixed memory access patterns, which are not yet exploited to overcome the memory wall. In this paper, we present a holistic methodology to generate an Application Specific Memory Controller (ASMC), which has a global view on the application and utilizes application knowledge to decrease the energy and increase the bandwidth. To generate an ASMC we analyze the DRAM access pattern of the application offline and generate a custom address mapping by solving a combinatorial sequence partitioning problem.
A Multiobjective Learning and Ensembling Approach to High-Performance Speech Enhancement With Compact Neural Network Architectures

In this study, we propose a novel deep neural network (DNN) architecture for speech enhancement (SE) via a multiobjective learning and ensembling (MOLE) framework to achieve a compact and lowlatency design, while maintaining good performance in quality evaluations. MOLE follows the boosting concept when combining weak models into a strong classifier and consists of two compact DNNs. The first, called the multiobjective learning DNN (MOL-DNN), takes multiple features, such as log-power spectra (LPS), mel-frequency cepstral coefficients (MFCCs) and Gammatone frequency cepstral coefficients (GFCCs) to predict a multiobjective set that includes clean speech feature, dynamic noise feature, and ideal ratio mask (IRM). The second, called the multiobjective ensembling DNN (MOE-DNN), takes the learned features from MOL-DNN as inputs and separately predicts clean LPS and IRM, clean MFCC and IRM, and clean GFCC and IRM using three sets of weak regression functions. Finally, a postprocessing operation can be applied to the estimated clean features by leveraging the multiple targets learned from both the MOL-DNN and the MOE-DNN. On speech corrupted by 15 noise types not seen in model training the SE results show that the MOLE approach, which features a small model size and low run-time latency, can achieve consistent improvements over both DNN- and long short-term memory (LSTM)-based techniques in terms of all the objective metrics evaluated in this study for all three cases (the input contexts contain 1-frame, 4-frame and 7-frame instances). The 1-frame MOLE-based SE system outperforms the DNN-based SE system with a 7-frame input expansion at a 3-frame delay and also achieves better performance than the LSTM-based SE system with 4-frame, no delay expansion by including only 3 previous frames, and with 170 times less processing latency.
Circulating Vitamin D and Risk of Epithelial Ovarian Cancer

We conducted a nested case-control study within two prospective cohorts, the New York University Women's Health Study and the Northern Sweden Health and Disease Study, to examine the association between prediagnostic circulating levels of 25-hydroxy vitamin D (25(OH)D) and the risk of subsequent invasive epithelial ovarian cancer (EOC). The 25(OH)D levels were measured in serum or plasma from 170 incident cases of EOC and 373 matched controls. Overall, circulating 25(OH)D levels were not associated with the risk of EOC in combined cohort analysis: adjusted OR for the top tertile versus the reference tertile, 1.09 (95% CI, 0.59–2.01). In addition, there was no evidence of an interaction effect between VDR SNP genotype or haplotype and circulating 25(OH)D levels in relation to ovarian cancer risk, although more complex gene-environment interactions may exist.
Automatic Generation of Consistency-Preserving Edit Operations for MDE Tools

Many tools for Model-Driven Engineering (MDE) which are based on the widespread Eclipse Modelling Framework (EMF) [4] are developed for single tasks like e.g., generating, editing, refactoring, merging, patching or viewing of models. Thus, models are oftentimes exchanged in a series of tools. In such a tool chain, a grafical model editor or viewer usually sets the degree of well-formedness of a model in order to visualize it. Well-formedness rules are typically defined in the meta-models, yet not all tools take them into account. As a result, a model can become unprocessable for other tools. This leads to the requirement, that all tools should be based on a common definition of minimum consistency. An obvious solution for this challenge is to use a common library of consistency-preserving edit operations (CPEOs) for models. However, typical meta-models lead to a large number of CPEOs. Manually specifying and implementing such a high number of CPEOs is hardly feasible and prone to error. This paper presents a new meta-tool which generates a complete set of CPEOs for a given meta-model. We have successfully integrated the generated CPEOs in several developer tools. The video http://youtu.be/w31AcMOd83Y demonstrates our meta-tool in the context of one of our developer tools.
Mechanism for survival of homozygous nonsense mutations in the tumor suppressor gene BRCA1

Significance Many patients with breast and ovarian cancer carry inherited cancer-predisposing mutations in BRCA1. However, virtually no patients have two inherited mutations in BRCA1 because the DNA repair function of BRCA1 is essential for embryonic development. We discovered that patients with two nonsense mutations from a specific region of BRCA1 may survive as the result of naturally occurring alternative splicing that yields a short but partially functional BRCA1 protein. These patients are extremely rare, and are characterized by severe chromosomal fragility, congenital anomalies, and predisposition to childhood cancers. BRCA1 is essential for repair of DNA double-strand breaks by homologous recombination, and hence for survival. Complete loss of its function is lethal during early embryonic development. Patients who are compound heterozygous for BRCA1 truncating mutations and missense alleles that retain some DNA repair capacity may survive, albeit with very high risk of early onset breast or ovarian cancer and features of Fanconi anemia. However, a mechanism enabling survival of patients homozygous for BRCA1 truncating mutations has not been described. We studied two unrelated families in which four children presented with multiple congenital anomalies and severe chromosomal fragility. One child developed T cell acute lymphocytic leukemia (ALL), and a second child developed neuroblastoma. Each of the four children was homozygous for a nonsense mutation in BRCA1 exon 11. Homozygosity for the nonsense mutations was viable thanks to the presence of a naturally occurring alternative splice donor in BRCA1 exon 11 that lies 5′ of the mutations. The mutations did not affect the alternative splice site, but transcription from it produced an in-frame BRCA1 message with deletion of 3,309 bp. The translated BRCA1 protein was only 40% of normal length, but with intact N- and C-terminal sequences. These patients extend the range of BRCA1-related phenotypes and illustrate how naturally occurring alternative splicing can enable survival, albeit with severe consequences, of otherwise lethal genotypes of an essential gene.
Reconstitution of Mammary Gland Development In Vitro: Requirement of c-met and c-erbB2 Signaling for Branching and Alveolar Morphogenesis

We have established a cell culture system that reproduces morphogenic processes in the developing mammary gland. EpH4 mouse mammary epithelial cells cultured in matrigel form branched tubules in the presence of hepatocyte growth factor/scatter factor (HGF/SF), the ligand of the c-met tyrosine kinase receptor. In contrast, alveolar structures are formed in the presence of neuregulin, a ligand of c-erbB tyrosine kinase receptors. These distinct morphogenic responses can also be observed with selected human mammary carcinoma tissue in explant culture. HGF/SF-induced branching was abrogated by the PI3 kinase inhibitors wortmannin and LY294002. In contrast, neuregulin- induced alveolar morphogenesis was inhibited by the MAPK kinase inhibitor PD98059. The c-met–mediated response could also be evoked by transfection of a c-met specific substrate, Gab1, which can activate the PI3 kinase pathway. An activated hybrid receptor that contained the intracellular domain of c-erbB2 receptor suffices to induce alveolar morphogenesis, and was observed in the presence of tyrosine residues Y1028, Y1144, Y1201, and Y1226/27 in the substrate-binding domain of c-erbB2. Our data demonstrate that c-met and c-erbB2 signaling elicit distinct morphogenic programs in mammary epithelial cells: formation of branched tubules relies on a pathway involving PI3 kinase, whereas alveolar morphogenesis requires MAPK kinase.
Efficient multipath in wireless networks using network coding over braided meshes

In wireless networks, the trade-off between reliability and efficiency is often obtained through multipath routing schemes. In multipath environments, such as those found in sensor networks, traditional internet routing solutions cannot be employed. Moreover, because multipath construction and maintenance is costly, a common alternative is using braided meshes, where it is difficult to calculate the underlying capacity, or to efficiently adapt to the existing network conditions. In this paper we propose the use of network coding over a multipath braided mesh topology that exploits both the low-cost mesh-topology construction, such as those obtained by diffusion algorithms, and the capacity-achieving capability of linear network coding. We implement our proposed algorithm using the ns-2 network simulator, and demonstrate that it achieves the best energy efficiency of existing methods. Moreover, our solution easily adapts to changing conditions in the network and it can be used to adjust reliability on demand.
Organizational factors that contribute to youth workers' promotion of youth voice

ABSTRACT The term youth voice has been identified as a mechanism that helps youth who are participating in out-of-school time programs (e.g., 4-H, Boys & Girls Club, Big Brother/Big Sister) achieve successful outcomes such as improved academic and social functioning. Youth voice promotion is commonly enacted in out-of-school time programs when youth workers extend opportunities to youth to provide feedback and make key program decisions. To date, scant research has focused on organizational factors that contribute to program staff (e.g., youth workers) willingness to promote youth voice. A structural equation model using person-environment fit theory within a Positive Youth Development theory framework was constructed to test organizational factors that contribute to youth voice promotion among youth workers. Data from 569 frontline youth workers within out-of-school time programs across the United States indicated that youth workers' abilities to form positive relationships with youth, professional efficacy, and ability to make decisions in their own jobs directly predicted youth workers' endorsement of youth voice. In addition, positive relationships partially mediated the effects of professional efficacy on youth voice promotion. Implications for theory and practice are discussed.
Ublituximab (TG‐1101), a novel glycoengineered anti‐CD20 antibody, in combination with ibrutinib is safe and highly active in patients with relapsed and/or refractory chronic lymphocytic leukaemia: results of a phase 2 trial

Ibrutinib is effective in patients with chronic lymphocytic leukaemia (CLL); however, treatment resistance remains a problem. Ublituximab is a novel, glycoengineered anti‐CD20 monoclonal antibody with single‐agent activity in relapsed CLL. We report the results of a phase 2 study evaluating combination therapy with ibrutinib and ublituximab in patients with relapsed or refractory CLL. Patients received ibrutinib 420 mg once daily. Ublituximab was administered on days 1, 8 and 15 of cycle 1 followed by day 1 of cycles 2–6. Response assessments were completed at cycles 3 and 6; patients then continued on ibrutinib monotherapy per standard of care. Forty‐one of 45 enrolled patients were evaluable for efficacy. Safety was consistent with prior experience for each drug, with infusion reactions the most prevalent adverse event. Combination therapy resulted in an overall response rate (ORR) of 88% at 6 months. In the 20 patients with high‐risk features (17p or 11q deletions or TP53 mutation) and evaluable for efficacy, the ORR was 95%, with three patients (15%) achieving negative minimal residual disease. Median time to response was 8 weeks. Ublituximab in combination with ibrutinib resulted in rapid and high response rates. The long‐term clinical benefit of ublituximab will be defined by an ongoing phase 3 trial (NCT 02301156).
PATTERN RECOGNITION METHOD FOR OFF-BOARD AUTOMOTIVE VEHICLE FAILURE ISOLATION

Abstract This paper introduces a pattern recognition method specially dedicated to the detection and isolation of after-sale failures on an automotive vehicle. This method is well suited to deal with binary data. It is based on the similarity between an input pattern and some reference patterns characteristic of each failure class. The initial space representation is divided into several subspaces in order to allow classification of patterns which belong simultaneously to several classes. Experiments with real data demonstrate the good performance and the adapted structure of this classification system.
On Queueing and Multilayer Coding

A single-server queue concatenated with a multilayer channel encoder is considered. The main focus of this work is on minimization of the expected delay of a packet from entering the queue until completion of successful service. Tight bounds are derived for the expected delay for different numbers of coded layers. Numerical optimization is applied to find the optimal resource allocation minimizing the average delay. Similar bounds are also derived for the case of continuous layering. It is demonstrated that code layering may give pronounced performance gains in terms of delay, which are more impressive than those associated with throughput. This makes layering more attractive when communicating under stringent delay constraints.