Miracle-dz/UniFAR-FTUs huggingface dataset:
Ieee Transactions on Information Theory (accepted) on the Achievable Rate Regions for Interference Channels with Degraded Message Sets

— The interference channel with degraded message sets (IC-DMS) refers to a communication model, in which two senders attempt to communicate with their respective receivers simultaneously through a common medium, and one sender has complete and a priori (non-causal) knowledge about the message being transmitted by the other. A coding scheme that collectively has advantages of cooperative coding, collaborative coding, and dirty paper coding, is developed for such a channel. With resorting to this coding scheme, achievable rate regions of the IC-DMS in both discrete memoryless and Gaussian cases are derived. The derived achievable rate regions generally include several previously known rate regions as special cases. A numerical example for the Gaussian case further demonstrates that the derived achievable rate region offers considerable improvements over these existing results in the high-interference-gain regime.
Motivation and Emotion: Evolutionary, Physiological, Cognitive, and Social Influences

I think this author does a very good job of covering the material. The writing style is consistently clear and direct and interesting. Research findings are clearly presented and clearly explained. ' - Ronald R Ulm, Salisbury State Universit How does culture affect our eating? Is love 'natural' to humans? Is anger always at the root of aggressive behaviours? Aimed at unravelling the mysteries of human motivation and emotion, the author of this book explores the evolutionary, physiological, social and cognitive factors that shape motivational behaviour from anger to sex to work and play. David C Edwards provides the best of contemporary findings and summarizes how past research contributes to current thought. Within each topically organized chapter, which all begin with a concise overview statement and end with a personal summary, the author highlights material of special importance and concludes major sections with a summary. Each chapter also ends with a set of questions that will help student readers.
Exact synthesis of 3-qubit quantum circuits from non-binary quantum gates using multiple-valued logic and group theory

We propose an approach to optimally synthesize quantum circuits from non-permutative quantum gates such as controlled-square-root-of-not (i.e., controlled-V). Our approach reduces the synthesis problem to multiple-valued optimization and uses group theory. We devise a novel technique that transforms the quantum logic synthesis problem from a multi-valued constrained optimization problem to a group permutation problem. The transformation enables us to utilize group theory to exploit the properties of the synthesis problem. Assuming a cost of one for each two-qubit gate, we find all reversible circuits with quantum costs of 4, 5, 6, etc, and give another algorithm to realize these reversible circuits with quantum gates.
Biphasic Myopathic Phenotype of Mouse DUX, an ORF within Conserved FSHD-Related Repeats

Facioscapulohumeral muscular dystrophy (FSHD) is caused by contractions of D4Z4 repeats at 4q35.2 thought to induce misregulation of nearby genes, one of which, DUX4, is actually localized within each repeat. A conserved ORF (mDUX), embedded within D4Z4-like repeats, encoding a double-homeodomain protein, was recently identified on mouse chromosome 10. We show here that high level mDUX expression induces myoblast death, while low non-toxic levels block myogenic differentiation by down-regulating MyoD and Myf5. Toxicity and MyoD/Myf5 expression changes were competitively reversed by overexpression of Pax3 or Pax7, implying mechanistic similarities with the anti-myogenic activity of human DUX4. We tested the effect of mDUX expression on Xenopus development, and found that global overexpression led to abnormalities in gastrulation. When targeted unilaterally into blastomeres fated to become tail muscle in 16-cell embryos, mDUX caused markedly reduced tail myogenesis on the injected side. These novel cell and animal models highlight the myopathic nature of sequences within the FSHD-related repeat array.
Structure of the FoxM1 DNA-recognition domain bound to a promoter sequence

FoxM1 is a member of the Forkhead family of transcription factors and is implicated in inducing cell proliferation and some forms of tumorigenesis. It binds promoter regions with a preference for tandem repeats of a consensus ‘TAAACA’ recognition sequence. The affinity of the isolated FoxM1 DNA-binding domain for this site is in the micromolar range, lower than observed for other Forkhead proteins. To explain these FoxM1 features, we determined the crystal structure of its DNA-binding domain in complex with a tandem recognition sequence. FoxM1 adopts the winged-helix fold, typical of the Forkhead family. Neither ‘wing’ of the fold however, makes significant contacts with the DNA, while the second, C-terminal, wing adopts an unusual ordered conformation across the back of the molecule. The lack of standard DNA–‘wing’ interactions may be a reason for FoxM1’s relatively low affinity. The role of the ‘wings’ is possibly undertaken by other FoxM1 regions outside the DBD, that could interact with the target DNA directly or mediate interactions with other binding partners. Finally, we were unable to show a clear preference for tandem consensus site recognition in DNA-binding, transcription activation or bioinformatics analysis; FoxM1's moniker, ‘Trident’, is not supported by our data.
Attachment, Emergent Morality, and Aggression: Toward a Developmental Socioemotional Model of Antisocial Behaviour

Does attachment play a role in the development of moral reasoning and antisocial behaviour? In this contribution we discuss the role of attachment relationships in the development of early precursors of morality and antisocial behaviour, in particular compliance and aggression in infancy and in childhood. Findings are presented on the role of attachment representations in the development of morality, authoritarianism, and criminal behaviour in adolescence and young adulthood. For heuristic purposes, two socioemotional models of the development of mild and serious types of antisocial behaviour are proposed in which attachment is a prominent feature.
k-Space and time sensitivity encoding-accelerated myocardial perfusion MR imaging at 3.0 T: comparison with 1.5 T.

PURPOSE To determine the feasibility and diagnostic accuracy of high-spatial-resolution myocardial perfusion magnetic resonance (MR) imaging at 3.0 T by using k-space and time (k-t) domain undersampling with sensitivity encoding (SENSE), or k-t SENSE. Data were compared with results of k-t SENSE-accelerated high-spatial-resolution perfusion MR imaging at 1.5 T and standard-resolution acquisition at 3.0 T. MATERIALS AND METHODS The study was reviewed and approved by the local ethics review board; informed consent was obtained. k-t SENSE perfusion MR imaging was performed at 1.5 and 3.0 T (fivefold k-t SENSE acceleration; spatial resolution, 1.3 x 1.3 x 10 mm). Fourteen volunteers were studied at rest; 37 patients were studied during adenosine-induced stress. In volunteers, comparison was also made with standard-resolution (2.5 x 2.5 x 10 mm) twofold SENSE perfusion MR imaging results at 3.0 T. Image quality, artifact scores, signal-to-noise ratios (SNRs), and contrast enhancement ratios were derived. In patients, diagnostic accuracy of visual analysis to detect stenosis of more than 50% narrowing in diameter at quantitative coronary angiography was determined by using receiver operator characteristic (ROC) analysis. RESULTS In volunteers, image quality and artifact scores were similar for 3.0- and 1.5-T k-t SENSE perfusion MR imaging, while SNR was higher (11.6 vs 5.6) and contrast enhancement ratio was lower (1.1 vs 1.5, P = .012) at 3.0 T. Compared with standard-resolution perfusion MR imaging, image quality was higher for 3.0-T k-t SENSE (3.6 vs 3.1, P = .04), endocardial dark rim artifacts were reduced (artifact thickness, 1.6 vs 2.4 mm, P < .001), and contrast enhancement ratios were similar. In patients, areas under the ROC curve for detection of coronary stenosis were 0.89 and 0.80 (P = .21) for 3.0 and 1.5 T, respectively. CONCLUSION k-t SENSE-accelerated high-spatial-resolution perfusion MR imaging at 3.0 T is feasible, with similar artifacts and diagnostic accuracy as those at 1.5 T. Compared with standard-resolution twofold SENSE perfusion MR imaging, image quality at k-t SENSE MR imaging is improved and artifacts are reduced.
Update on triple therapy for eradication of Helicobacter pylori : current status of the art

: With the rising prevalence of antimicrobial resistance, the treatment success of standard triple therapy has recently declined to unacceptable levels (ie, 80% or less). Following the failure of conventional triple therapy, novel eradication regimens have been developed including sequential therapy, concomitant quadruple therapy, hybrid (dual-concomitant) therapy, bismuth-containing quadruple therapy, and a therapy with administration of N-acetylcysteine before a culture-guided antibiotic regimen. This article reviews the literature published on Helicobacter pylori eradication in the last year, focusing on the development of alternative strategies for first, second, and third-line rescue therapy for the eradication of H. pylori .
Antigen Retrieval Immunohistochemistry

As a review for the 20th anniversary of publishing the antigen retrieval (AR) technique in this journal, the authors intend briefly to summarize developments in AR-immunohistochemistry (IHC)–based research and diagnostics, with particular emphasis on current challenges and future research directions. Over the past 20 years, the efforts of many different investigators have coalesced in extending the AR approach to all areas of anatomic pathology diagnosis and research and further have led to AR-based protein extraction techniques and tissue-based proteomics. As a result, formalin-fixed paraffin-embedded (FFPE) archival tissue collections are now seen as a literal treasure of materials for clinical and translational research to an extent unimaginable just two decades ago. Further research in AR-IHC is likely to focus on tissue proteomics, developing a more efficient protocol for protein extraction from FFPE tissue based on the AR principle, and combining the proteomics approach with AR-IHC to establish a practical, sophisticated platform for identifying and using biomarkers in personalized medicine.
miR-27b attenuates apoptosis induced by transmissible gastroenteritis virus (TGEV) infection via targeting runt-related transcription factor 1 (RUNX1)

Transmissible gastroenteritis virus (TGEV), belonging to the coronaviridae family, is the key cause of the fatal diarrhea of piglets and results in many pathological processes. microRNAs (miRNAs) play a key role in the regulation of virus-induced apoptosis. During the process of apoptosis induced by TGEV infection in PK-15 cells, the miR-27b is notably down-regulated. Thus, we speculate that miR-27b is involved in regulating the process of apoptosis in PK-15 cells. In this study we demonstrated that the over-expression of miR-27b led to the inhibition of TGEV-induced apoptosis, reduction of Bax protein level, and decrease of caspase-3 and −9 activities. Conversely, silencing of miR-27b by miR-27b inhibitors enhanced apoptosis via up-regulating Bax expression and promoting the activities of caspase-3 and −9 in TGEV-infected cells. Subsequently, the runt-related transcription factor 1 (RUNX1) is a candidate target of miR-27b predicted by bioinformatics search. We further identified that the miR-27b directly bound to the 3′ UTR of RUNX1 mRNA and suppressed RUNX1 expression, which indicates RUNX1 is the direct target gene of miR-27b. The over-expression of RUNX1 increased apoptosis and knockdown RUNX1blocked apoptosis of viral-infected cells via regulating Bax expression and the activities of caspase-3 and −9. Our data reveal that miR-27b may repress the mitochondrial pathway of apoptosis by targeting RUNX1, indicating that TGEV may induce apoptosis via down-regulating miR-27b and that miR-27b may act as a target for therapeutic intervention.
Identifying Software Theft Based on Classification of Multi-Attribute Features

Due to the low performance caused by the traditional "embedded" watermark and the shortages about low accuracy and weak anti-aggressive of single-attribute birthmark in checking obfuscated software theft, a software identification scheme is proposed which is based on classification of multi-dimensional features. After disassembly analysis and static analysis on protecting software and its resisting semantics-preserving transformations, the algorithm extracts features from many dimensions, which combines the statistic and semantic features to reflect the behavior characteristic of the software, analyzing and detecting theft based on similarities of software instead of traditional ways depending on a trusted third party or alone-similarity threshold. Through giving the formal description about the algorithm, depicting the algorithm realization, after comparisons and analysis from the qualitative and quantitative, theoretical and experimental aspects, the results show that the algorithm contributes to the resistance to attacks, as well as the robustness and credibility, and has advantages compared with similar methods.
Effects of imbalances and nonlinear loads on the voltage balance of a neutral-point-clamped inverter

The effects of linear imbalances and nonlinear loads on the voltage balance of the neutral-point-clamped converter are described in this paper. The study reveals that a negative sequence of output currents (linear imbalance) may produce additional low-frequency oscillations to the neutral-point voltage. Similar consequences are produced by odd-order current harmonics from a nonlinear load, while even-order harmonics can cause the neutral-point voltage to shift. Furthermore, the second, fourth, and eighth output current harmonics might produce instability to the neutral-point voltage. The second and fourth harmonics are the worst components. The maximum amplitudes of these harmonics superposed to the current fundamentals that the system can tolerate are described. Simulated and experimental examples are presented.
A study on the efficiency of learning a robot controller in various environments

In the case that a robot controller is trained by means of evolutionary computation, the robot will be able to behave sufficiently in the environment where the robot has been trained. However, if the robot is put in an environment which is more complex than a training environment, it cannot behave sufficiently and is required to be trained again so as it fits to the complex environment. Based on this fact, we build a training environment for a robot controller with the partial components of a more complex environment than the training environment and aim to obtain a controller which makes a robot be able to act in the complex environment by only training the controller at a simpler environment. We clarify a way of building a training environment which functions effectively for training a robot controller and discuss how much training is necessary in the training environment for a robot to be able to behave under a more complex environment.
Dense Feature Matching Core for FPGA-based Smart Cameras

Smart cameras are image/video acquisition devices that integrate image processing algorithms close to the image sensor, so they can deliver high-level information to a host computer or high-level decision process. In this context, a central issue is the implementation of complex and computationally intensive computer vision algorithms inside the camera fabric. For low-level processing, FPGA devices are excellent candidates because they support data parallelism with high data throughput. One computer vision algorithm highly promising for FPGA-based smart cameras is feature matching. Unfortunately, most previous feature matching formulations have inefficient FPGA implementations or deliver relatively poor information about the observed scene. In this work, we introduce a new feature-matching algorithm that aims for dense feature matching and at the same time straightforward FPGA implementation. We propose a new mathematical formulation that addressed the feature matching task as a feature tracking problem. We demonstrate that our algorithmic formulation delivers robust feature matching with low mathematical complexity and obtains accuracy superior to previous algorithmic formulations. An FPGA architecture is lay down and, hardware acceleration strategies are discussed. Finally, we applied our feature matching algorithm in a monocular-SLAM system. We show that our algorithmic formulation provides promising results under real world applications.
CHARM: An Efficient Algorithm for Closed Association Rule Mining

The task of mining association rules consists of two main steps. The first involves finding the set of all frequent itemsets. The second step involves testing and generating all high confidence rules among itemsets. In this paper we show that it is not necessary to mine all frequent itemsets in the first step, instead it is sufficient to mine the set of closed frequent itemsets, which is much smaller than the set of all frequent itemsets. It is also not necessary to mine the set of all possible rules. We show that any rule between itemsets is equivalent to some rule between closed itemsets. Thus many redundant rules can be eliminated. Furthermore, we present CHARM, an efficient algorithm for mining all closed frequent itemsets. An extensive experimental evaluation on a number of real and synthetic databases shows that CHARM outperforms previous methods by an order of magnitude or more. It is also linearly scalable in the number of transactions and the number of closed itemsets found.
Analyses of Antenna Displacement in Short-Range MIMO Transmission over Millimeter-Wave

Short-range multiple-input and multiple-output (SR-MIMO) has attracted much attention, because the technique makes it possible to raise channel capacity to several hundred Gbit/s by utilizing the millimeter-wave band (e.g., 60GHz band). Although the opposed transceiving antennas are assumed to be accurately positioned in previous studies regarding SR-MIMO, a very important issue is to evaluate the performance degradation due to displacement between MIMO transceivers. In SR-MIMO over the millimeter-wave band, any displacement is perceived as significant because the wavelength is small. This paper evaluates the influence on SR-MIMO transmission performance over millimeter-wave caused by displacement between the transmitting and receiving antennas. The channel capacity is found to degrade by 5% when the horizontal displacement is 1mm and by 2.7% when the rotational displacement is 10 degrees. In addition, comparing performances obtained with a number of antenna array arrangements clarifies that a square pattern arrangement is suitable for short-range wireless transmission.
Video Alignment for Change Detection

In this work, we address the problem of aligning two video sequences. Such alignment refers to synchronization, i.e., the establishment of temporal correspondence between frames of the first and second video, followed by spatial registration of all the temporally corresponding frames. Video synchronization and alignment have been attempted before, but most often in the relatively simple cases of fixed or rigidly attached cameras and simultaneous acquisition. In addition, restrictive assumptions have been applied, including linear time correspondence or the knowledge of the complete trajectories of corresponding scene points; to some extent, these assumptions limit the practical applicability of any solutions developed. We intend to solve the more general problem of aligning video sequences recorded by independently moving cameras that follow similar trajectories, based only on the fusion of image intensity and GPS information. The novelty of our approach is to pose the synchronization as a MAP inference problem on a Bayesian network including the observations from these two sensor types, which have been proved complementary. Alignment results are presented in the context of videos recorded from vehicles driving along the same track at different times, for different road types. In addition, we explore two applications of the proposed video alignment method, both based on change detection between aligned videos. One is the detection of vehicles, which could be of use in ADAS. The other is online difference spotting videos of surveillance rounds.
Current State of the Surgical Treatment of Atrial Fibrillation

Surgery of atrial fibrillation (AF) was first described in 1991 by James Cox in what was named the Cox-Maze procedure, and over the years it has been considered the gold-standard treatment, with best results in maintaining sinus rhythm in the long term. Nevertheless, the complexity and aggressivity of the first techniques of cut-and-sew limited the application of this procedure, and few centers were dedicated to AF surgery. In the past years, however, new devices able to ablate atrial tissue with cryotherapy, radiofrequency, or ultrasounds have facilitated this operation. In the mid-term, other energy devices with laser or microwave have been abandoned due to a lack of consistency in getting transmural lesions in a consistent and reproducible manner. Additionally, better knowledge of the physiopathology of AF, with the importance of triggering zones around the pulmonary veins, has started new minimally invasive techniques to approach paroxysmal and persistent AF patients through thoracoscopy.
Protein-tyrosine Phosphatase-α and Src Functionally Link Focal Adhesions to the Endoplasmic Reticulum to Mediate Interleukin-1-induced Ca2+ Signaling*

Calcium (Ca2+) signaling by the pro-inflammatory cytokine interleukin-1 (IL-1) is dependent on focal adhesions, which contain diverse structural and signaling proteins including protein phosphatases. We examined here the role of protein-tyrosine phosphatase (PTP) α in regulating IL-1-induced Ca2+ signaling in fibroblasts. IL-1 promoted recruitment of PTPα to focal adhesions and endoplasmic reticulum (ER) fractions, as well as tyrosine phosphorylation of the ER Ca2+ release channel IP3R. In response to IL-1, catalytically active PTPα was required for Ca2+ release from the ER, Src-dependent phosphorylation of IP3R1 and accumulation of IP3R1 in focal adhesions. In pulldown assays and immunoprecipitations PTPα was required for the association of PTPα with IP3R1 and c-Src, and this association was increased by IL-1. Collectively, these data indicate that PTPα acts as an adaptor to mediate functional links between focal adhesions and the ER that enable IL-1-induced Ca2+ signaling.
Analyzing the Trade-Off between Traditional and Agile Software Development - A Cost/Risk Perspective

Digitalization heralds a new era of enterprise IT. It challenges CIOs to find a balance between renovating legacy IT and seizing the opportunities of digital technologies to keep up with competitors and start-ups. This requires organizations to operate two software development modes simultaneously: the traditional and the agile mode. Despite substantial research on both modes, little is known about whether to implement distinct software development projects traditionally or agile. As a first step to addressing this gap, we propose a quantitative decision model that compares the cost and risk profiles of both modes associated with the implementation of a distinct project. The decision model integrates qualitative and quantitative characteristics of the project in focus and of the traditional and the agile mode. As for evaluation, we implemented the decision model as a software prototype and validated its behavior using sample projects as well as a sensitivity analysis.