Miracle-dz/UniFAR-FTUs huggingface dataset:
Five-pole LTCC cavity filter for wireless applications at 34GHz

System-on-Package (SOP) is presently the most effective method for realizing the miniaturization of wireless front-end applications. Band pass filter is one of the most important components in the SOP. In this paper, a 5-pole band pass cavity filter consisting of via walls was designed as a system-on-package solution for RF front-end modules at 34GHz, adopting low-temperature co-fired ceramics (LTCC). The BPF is vertically made up of five cavity resonators with via walls and has been simulated and optimized by Ansoft HFSS. This filter which has been realized in a seven layers ceramic substrate exhibits an insertion loss of 0.89 dB at the center frequency of 34 GHz, a rejection <37.5 dB(32.9GHz and 35.8GHZ), and 3dB bandwidth approximately 4.5%(∼ 1.5 GHz). Due to its vertical structure, this filter shows promising application potentials in miniaturized SOP.
Somatic signature of brain-specific single nucleotide variations in sporadic Alzheimer's disease.

BACKGROUND Although genome-wide association studies have shown that genetic factors increase the risk of suffering late-onset, sporadic Alzheimer's disease (SAD), the molecular mechanisms responsible remain largely unknown. OBJECTIVE The aim of the study was to investigate the presence of somatic, brain-specific single nucleotide variations (SNV) in the hippocampus of SAD samples. METHODS By using bioinformatic tools, we compared whole exome sequences in paired blood and hippocampal genomic DNAs from 17 SAD patients and from 2 controls and 2 vascular dementia patients. RESULTS We found a remarkable number of SNVs in SAD brains (~575 per patient) that were not detected in blood. Loci with hippocampus-specific (hs)-SNVs were common to several patients, with 38 genes being present in 6 or more patients out of the 17. While some of these SNVs were in genes previously related to SAD (e.g., CSMD1, LRP2), most hs-SNVs occurred in loci previously unrelated to SAD. The most frequent genes with hs-SNVs were associated with neurotransmission, DNA metabolism, neuronal transport, and muscular function. Interestingly, 19 recurrent hs-SNVs were common to 3 SAD patients. Repetitive loci or hs-SNVs were underrepresented in the hippocampus of control or vascular dementia donors, or in the cerebellum of SAD patients. CONCLUSION Our data suggest that adult blood and brain have different DNA genomic variations, and that somatic genetic mosaicism and brain-specific genome reshaping may contribute to SAD pathogenesis and cognitive differences between individuals.
Querying regular sets of XML documents

We investigate the problem of querying (regular) sets of XML documents represented with tree automata and we consider $n$-ary tree automata queries whose expressive power captures MSO on trees. Because finite automata can represent infinite sets of documents, we propose the notions of {\em universal} and {\em existential} query answers, answers that are present resp. in all and some documents. We study complexity of query answering and show that computing existential query answers is in PTIME if we assume the arity of the query to be a fixed parameter. On the other hand, computing universal query answers is EXPTIME-complete, but we show that it is in PTIME if we assume that the query is fixed (data complexity). Finally, we argue that the framework captures problems central to many novel XML applications like querying inconsistent XML documents. In particular, we demonstrate how to use our framework to compute consistent query answers in XML documents that do not satisfy the schema. This solution significantly extends our previous results in this area.
Social interaction on the Net: virtual community as participatory genre

The phrase "virtual community" is often used to describe long term, computer-mediated conversations amongst large groups. This paper suggests that such conversations may be better viewed as instances of a participatory genre, rather than as community. A genre-oriented analysis is useful because it encourages a focus on the medium within which the discourse is embodied. As an example we analyze an online conversation from the perspective of genre: we identify its communicative purpose, regularities of form and substance (such as word play and affirmation), and the situation which gives rise to these regularities. We then examine ways in which the discourse medium supports these regularities and enables participants to establish and reinforce the conversation's underlying conventions. More generally, we believe that genre-oriented analyses such as this can play an important role in the design of participatory media.
How Clinical Practice Research Datalink data are used to support pharmacovigilance

Pharmacovigilance can be defined as the science of monitoring medicines and vaccines after license for use, the purpose of which is to quantify and characterise the safety profile of a medicine, identify previously unknown adverse reactions, inform risk-benefit assessment, and support the development of actions that can be taken to reduce risks, optimise benefits and monitor their effectiveness. This review discusses the Clinical Practice Research Datalink (CPRD), which is the source of the largest research database in the UK with longitudinal, representative primary care data linked to data from other healthcare settings. CPRD supports international pharmacovigilance by providing a large, anonymised representative general population database with comprehensive capture of patient risk factors and outcomes to researchers within academic, regulatory and pharmaceutical organisations. The specific advantages of CPRD data are discussed in the context of the ‘six Vs of big data’ including volume, velocity, variety, veracity, validity and value. Examples of where CPRD data have been used for pharmacovigilance research and how these have fed into guidelines and policy are discussed.
Caring for Parents With Neurodegenerative Disease: A Qualitative Description

Purpose/Objective: The objective of this study was to explore the positive aspects experienced by adult children in providing care to their parent who has either Parkinson’s or Alzheimer’s disease. Design: A qualitative descriptive approach was used to analyze audiotaped in-depth semistructured interviews that were conducted with 34 adult children who were primary caregivers as part of a larger randomized clinical trial. Setting: Individual interviews were conducted by trained research assistants in the caregiver’s home. Sample: Thirty-four adult children caregivers who were primary caregivers for their respective 34 parents. Seventy-six percent (n = 26) of the caregivers were caring for a parent with Alzheimer’s disease. Twenty-four percent (n = 8) were caring for a parent with Parkinson’s disease. Eighty-two percent were adult daughters. Mean age of the caregiver was 52 years, and the mean age of the parent was 81 years. Fifty-three percent of caregivers were white, and 47% were black. Data Analysis: A conventional content analysis was performed to summarize themes. Findings: Results indicated that most caregivers had positive experiences. Three relationship-centered themes were identified: spending and enjoying time together, appreciating each other and becoming closer, and giving back care. A small number of caregivers (n = 6) could not identify positive experiences. Conclusion/Implications: Caregivers who had positive experiences in caregiving expressed fewer feelings of being overwhelmed or distressed by their situations. Further study is needed on caregivers who do not experience positive aspects in caring for a parent, and these caregivers potentially may be a group that warrants further intervention by advanced practice nurses.
A new scars removal technique of fingerprint images

Automatic fingerprint recognition has received considerable attention over the past decades. Progress has been made on models of the structures of fingerprints, techniques for acquisition of prints, and the developments of commercial automated fingerprint identification systems. Despite these advances, there remain considerable opportunities for improvements. The speed of retrieval and the ability to recognize partial or distorted prints are prominent among those areas that require improvements. This paper discusses a new technique to remove scars from impaired fingerprint images. This is achieved by first improving directional images of finger prints and then followed by reconstructing the finger print images using Inverse Fast Fourier Transform. The technique was tested on 500 fingerprint images of 5 different classes namely arch, left loop, right loop, tented and whorl. The experimental results have shown that the reconstructed images have achieved almost 100% free of scars and have a better and clear ridge and furrow structures.
A sufficient criterion for integrability of stochastic many-body dynamics and quantum spin chains

We propose a dynamical matrix product ansatz describing the stochastic dynamics of two species of particles with excluded-volume interaction and the quantum mechanics of the associated quantum spin chains, respectively. The time-dependent algebra which is obtained from the action of the Markov generator of the exclusion process (or quantum Hamiltonian of the spin chain, respectively) is given in terms of a set of quadratic relations. By analysing the permutation consistency of the induced cubic relations, we obtain sufficient conditions on the hopping rates (i.e. the quantum mechanical interaction constants) which allow us to identify integrable models. From the dynamical algebra we construct the quadratic algebra of Zamolodchikov type, the associativity of which is a Yang–Baxter equation. We also obtain directly from the dynamical matrix product ansatz the Bethe ansatz equations for the spectra of these models.
Classic papers in psychology: From theory to practice

Who are the most prestigious authors cited in today’s psychology textbooks and journals? And where are (or where were) they based? This short note reports on the answers gained to such questions by using the Web of Science Core Collection to find the authors of the most highly cited papers in psychology published between 1927 and 2012. The findings suggest that well–known historic figures of the past have now been replaced with tool makers.
A Path to Mitigating SNS Ad Avoidance: Tailoring Messages to Individual Personality Traits

Abstract Consumers generally pay little attention to ads on social networking sites (SNSs) in parallel with the rise of SNS advertising. In fact, consumers’ adoption of varied strategies, such as ad avoidance, to reduce their exposure to advertising messages appears to be on the rise. However, limited attention has been given to psychological determinants of consumers’ propensity to engage in SNS ad avoidance. Using the big five personality traits as a framework, this study experimentally examines how SNS ad messages tailored to fit personality traits function to determine individuals’ likely engagement in SNS ad avoidance. As predicted, messages that are tailored to match personality traits are influential in determining SNS ad avoidance. Specifically, extraversion, openness to experience, agreeableness, and neuroticism did influence SNS ad avoidance, with the exception of conscientiousness. Perceived relevance mediated the relationships between the personality traits, perceived intrusiveness, and SNS ad avoidance. Perceived intrusiveness also was positively related to SNS ad avoidance. Theoretical contributions and implications are discussed.
Deployment of a programmable network for a nation wide R&D network

The current incarnation of the Internet has various problems, bottlenecks, and policy issues; hence, researchers of future Internet and next-generation networks have been developing new architecture for networks, applications, etc. The Global Environment for Network Innovations (GENI) project has been a leader in addressing these various problems, bottlenecks, and policy issues in the U.S. Starting with a clean slate has become a popular approach for future Internet and next-generation networks. In particular, a programmable network should solve issues with collaborations between networks and applications according to researchers ' requirements; this is because the network can be controlled by leveraging application programming interfaces (APIs). In this paper, we propose the deployment, operation, and management of OpenFlow for a nationwide R&D network. OpenFlow is a candidate technology for programmable networks. OpenFlow architecture consists of the OpenFlow controller, switches, and protocol. The OpenFlow controller is open to APIs for researchers of the OpenFlow network testbed. We established an OpenFlow network testbed on JGN2plus, which is the nationwide R&D network in Japan. Before establishing an OpenFlow network testbed on JGN2plus, we should evaluate the load test and limitations of transmission control protocol/user datagram protocol (TCP/UDP) sessions and consolidate the framework of the operation and management for a large-scale OpenFlow network testbed. We propose a method to seamlessly interconnect this network to the existing legacy networks.
Simultaneous measurement of allantoin and urate in plasma: analytical evaluation and potential clinical application in oxidant:antioxidant balance studies.

In humans, allantoin is formed by nonenzymatic oxidation of urate; it may, therefore, be useful in assessing oxidative stress(1)(2). Most published methods involve separate analysis of urate and allantoin and require extraction, hydrolysis, and derivatization procedures (1)(2)(3)(4)(5)(6). The primary aim of this study was to evaluate a slightly modified version of an HPLC assay described by Lux et al. (7) for the simultaneous measurement of urate and allantoin. A secondary aim was to explore the clinical utility of allantoin as a biomarker of oxidative stress, the hypothesis being that in disease associated with increased oxidative stress, allantoin increases because of an increased “oxidative turnover” of urate. The final aim of the study was to investigate the effect of age on urate and allantoin concentrations. Allantoin and uric acid were from Sigma; 1-heptanesulfonic acid, sodium salt monohydrate was from Sigma-Aldrich; potassium dihydrogen phosphate was from Merck; sodium hydroxide was from Riedel-de Haen; orthophosphoric acid was from BDH, and Moni-Trol Level 1 Chemistry Control Serum was from Dade International. MilliQ water (Millipore ultra-pure water system; Millipore) was used for preparation of all solutions. Aqueous stock solutions of allantoin (1000 μmol/L) and urate (2000 μmol/L) were prepared and stored at 4 °C. Because uric acid (urate) is more soluble at alkaline pH, sodium hydroxide (1 mol/L) was added dropwise until the pH was ∼9.0; at this pH, all urate was dissolved. Calibrators (10–100 μmol/L for allantoin; 50–1000 μmol/L for urate) were prepared in mobile phase from stock solutions: 25 μL of each calibrator was mixed with 25 μL of Moni-Trol control serum and 75 μL of mobile phase. Ultrafiltrates (see below) of diluted calibrators were used to construct daily calibration curves. For precision studies, we used 1-mL aliquots of pooled …
Suppression of protein aggregation by chaperone modification of high molecular weight complexes

Protein misfolding and aggregation are associated with many neurodegenerative diseases, including Huntington’s disease. The cellular machinery for maintaining proteostasis includes molecular chaperones that facilitate protein folding and reduce proteotoxicity. Increasing the protein folding capacity of cells through manipulation of DNAJ chaperones has been shown to suppress aggregation and ameliorate polyglutamine toxicity in cells and flies. However, to date these promising findings have not been translated to mammalian models of disease. To address this issue, we developed transgenic mice that over-express the neuronal chaperone HSJ1a (DNAJB2a) and crossed them with the R6/2 mouse model of Huntington’s disease. Over-expression of HSJ1a significantly reduced mutant huntingtin aggregation and enhanced solubility. Surprisingly, this was mediated through specific association with K63 ubiquitylated, detergent insoluble, higher order mutant huntingtin assemblies that decreased their ability to nucleate further aggregation. This was dependent on HSJ1a client binding ability, ubiquitin interaction and functional co-operation with HSP70. Importantly, these changes in mutant huntingtin solubility and aggregation led to improved neurological performance in R6/2 mice. These data reveal that prevention of further aggregation of detergent insoluble mutant huntingtin is an additional level of quality control for late stage chaperone-mediated neuroprotection. Furthermore, our findings represent an important proof of principle that DNAJ manipulation is a valid therapeutic approach for intervention in Huntington’s disease.
Evolved Sensitive Periods in Learning

In this paper we study age-varying plasticities across different components in an artificial neural network performing a reinforcement learning task. An evolutionary algorithm is given the task of mapping the age of agents to the plasticity levels of different network components. The results show that patterns of plasticity resembling biological sensitive periods appear, and that these periods schedule learning across the components of the network, which leads to a reduction in the total learning effort while retaining the quality of learning. The sequencing of sensitive periods forms a cascade of partiallyoverlapping learning periods, which has been proposed as a way of organizing sensory development of abilities that depend on several interrelated brain functions.
An Analysis of Deployment Models of HBase-based Hadoop Platform in Virtualized Computing Environment

Along with the explosive growth of data, large-scale computing resources is much needed to enable data capturing, storing, and processing in the big data era. In order to provide computing resources, cloud computing is increasingly being used for processing big data analysis. However, migrating such data processing application to IaaS clouds involves significant performance variations based on a way to deploy the application into a set of virtual machines. Since the application deployments affects to performance of the data processing application in IaaS clouds, understanding how components of the application utilizes available com-puting resources is necessary to building big data processing platform. In this pa-per, we perform an experimental investigation by deploying a set of application components belonging to HBase and Hadoop. As an applicable example, we ap-ply a processing application of the traffic state categorization to estimate traffic collision probability. Especially, we focus on investigating the utilization of disk I/O resource in a hot-spotting case. As a result, since our testing application shows relatively small write operations, HRegion and TaskTracker virtual machines can be deployed with disk intensive applications (i.e., DataNode) on a same physical machine. Also, we observed overloaded virtual machines, which provides a particular data sets in a specific data region, which represents how data allocation strategy impacts on the performance of the data processing applications.
JAM-A regulates permeability and inflammation in the intestine in vivo

Recent evidence has linked intestinal permeability to mucosal inflammation, but molecular studies are lacking. Candidate regulatory molecules localized within the tight junction (TJ) include Junctional Adhesion Molecule (JAM-A), which has been implicated in the regulation of barrier function and leukocyte migration. Thus, we analyzed the intestinal mucosa of JAM-A–deficient (JAM-A−/−) mice for evidence of enhanced permeability and inflammation. Colonic mucosa from JAM-A−/− mice had normal epithelial architecture but increased polymorphonuclear leukocyte infiltration and large lymphoid aggregates not seen in wild-type controls. Barrier function experiments revealed increased mucosal permeability, as indicated by enhanced dextran flux, and decreased transepithelial electrical resistance in JAM-A−/− mice. The in vivo observations were epithelial specific, because monolayers of JAM-A−/− epithelial cells also demonstrated increased permeability. Analyses of other TJ components revealed increased expression of claudin-10 and -15 in the colonic mucosa of JAM-A−/− mice and in JAM-A small interfering RNA–treated epithelial cells. Given the observed increase in colonic inflammation and permeability, we assessed the susceptibility of JAM-A−/− mice to the induction of colitis with dextran sulfate sodium (DSS). Although DSS-treated JAM-A−/− animals had increased clinical disease compared with controls, colonic mucosa showed less injury and increased epithelial proliferation. These findings demonstrate a complex role of JAM-A in intestinal homeostasis by regulating epithelial permeability, inflammation, and proliferation.
Convergence of Gradient Descent Algorithm for Diagonal Recurrent Neural Networks

Recurrent neural networks have been used for analysis and prediction of time series. This paper is concerned with the convergence of the gradient descent algorithm for training the diagonal recurrent neural networks. The existing convergence results consider the online gradient training algorithm based on the assumption that a very large number of (or infinitely many in theory) training samples of the time series are available, and accordingly the stochastic process theory is used to establish some convergence results of probability nature. In this paper, we consider the case that only a small number of training samples of the time series are available such that the stochastic treatment of the problem is no longer appropriate. Instead, we use the offline gradient descent algorithm for training the diagonal recurrent neural network, and we accordingly prove some convergence results of deterministic nature. The monotonicity of the error function in the iteration is also guaranteed.
Optical emission from massive donors in ultraluminous X-ray source binary systems

We present evolutionary tracks of binary systems with high-mass companion stars and stellar-through-intermediate mass black holes (BHs). Using Eggleton's stellar evolution code, we compute the luminosity produced by accretion from the donor during its entire evolution. We compute also the evolution of the optical luminosity and colours of the binary system taking the disc contribution and irradiation effects into account. The calculations presented here can be used to constrain the properties of the donor stars in ultraluminous X-ray sources by comparing their position on the Hertzsprung-Russell or colour-magnitude diagrams with the evolutionary tracks of massive BH binaries. This approach may actually provide interesting clues also on the properties of the binary system itself, including the BH mass. We found that, on the basis of their position on the colour-magnitude diagram, some of the candidate counterparts considered can be ruled out and more stringent constraints can be applied to the donor masses.