Miracle-dz/UniFAR-FTUs huggingface dataset:
Relay Selection for Improved Physical Layer Security in Cognitive Relay Networks Using Artificial Noise

In this paper, the physical layer security of underlay cognitive decode-and-forward (DF) relay networks is investigated, wherein one secondary transmitter (ST) exchanges confidential information with one secondary destination with the assistance of multiple cognitive DF relays by sharing the licensed spectrum of an primary user, and the relayed transmission is intercepted by multiple passive eavesdroppers. To provide security guarantee for secondary transmission, we propose a novel cooperative scheme aided by artificial noise. In the absence of the eavesdroppers’ channel state information (CSI), two opportunistic relay selection schemes, namely best relay selection (BRS) and conventional relay selection (CRS), are proposed as an incentive to further enhance the physical layer security. To be specific, only the CSI of the main channel is employed in the CRS scheme, whereas the BRS scheme invokes both the CSI of the main channel and interference channel. We address the secrecy performance in terms of secrecy outage probability, for which the closed-form expressions for both the relay selection schemes are derived. Simulation results are provided to verify our analysis and show that the proposed BRS scheme significantly achieves a better secrecy outage performance compared with the CRS scheme as well as the conventional scheme without jamming.
Statistical approaches to the study of protein folding and energetics

The determination of protein structure and the exploration of protein folding landscapes are two of the key problems in computational biology. In order to address these challenges, both a protein model that accurately captures the physics of interest and an efficient sampling algorithm are required. The first part of this thesis documents the continued development of CRANKITE, a coarse-grained protein model, and its energy landscape exploration using nested sampling, a Bayesian sampling algorithm. We extend CRANKITE and optimize its parameters using a maximum likelihood approach. The efficiency of our procedure, using the contrastive divergence approximation, allows a large training set to be used, producing a model which is transferable to proteins not included in the training set. We develop an empirical Bayes model for the prediction of protein β-contacts, which are required inputs for CRANKITE. Our approach couples the constraints and prior knowledge associated with β-contacts to a maximum entropy-based statistic which predicts evolutionarily-related contacts. Nested sampling (NS) is a Bayesian algorithm shown to be efficient at sampling systems which exhibit a first-order phase transition. In this work we parallelize the algorithm and, for the first time, apply it to a biophysical system: small globular proteins modelled using CRANKITE. We generate energy landscape charts, which give a large-scale visualization of the protein folding landscape, and we compare the efficiency of NS to an alternative sampling technique, parallel tempering, when calculating the heat capacity of a short peptide. In the final part of the thesis we adapt the NS algorithm for use within a molecular dynamics framework and demonstrate the application of the algorithm by calculating the thermodynamics of allatom models of a small peptide, comparing results to the standard replica exchange approach. This adaptation will allow NS to be used with more realistic force fields in the future.
Henry Gerard Thornton, 22 January 1892 - 6 February 1977

Henry Gerard T hornton was born in London in 1892, the elder son of Frank Hugh Thornton, J. P., of Kingsthorpe Hall, Northampton. His father, who was a breeder of shorthorn cattle, exporting prize bulls to Argentina, came from a long line of Northamptonshire landowners which had received an influx of exotic blood in the eighteenth century when an heiress daughter had married a Dutch Huguenot merchant from Smyrna. In more senses than one the father was an enlightened country gentleman, for not only was he instrumental in establishing the first electric light company in the county, but he was also much concerned with rural health and welfare and infant mortality, and introduced hygienic methods for milk production. This interest was no doubt much deepened by the death of his wife Evelyn (née Burchell) in childbirth when Henry was 9 years old.
Phenotypic differences between Drosophila Alzheimer’s disease models expressing human Aβ42 in the developing eye and brain

ABSTRACT Drosophila melanogaster expressing amyloid-β42 (Aβ42) transgenes have been used as models to study Alzheimer’s disease. Various Aβ42 transgenes with different structures induce different phenotypes, which make it difficult to compare data among studies which use different transgenic lines. In this study, we compared the phenotypes of four frequently used Aβ42 transgenic lines, UAS-Aβ422X, UAS-Aβ42BL33770, UAS-Aβ4211C39, and UAS-Aβ42H29. 3. Among the four transgenic lines, only UAS-Aβ422X has two copies of the upstream activation sequence-amyloid-β42 (UAS-Aβ42) transgene, while remaining three have one copy. UAS-Aβ42BL33770 has the 3′ untranslated region of Drosophila α-tubulin, while the others have that of SV40. UAS-Aβ4211C39 and UAS-Aβ42H29. 3 have the rat pre-proenkephalin signal peptide, while UAS-Aβ422X and UAS-Aβ42BL33770 have that of the fly argos protein. When the transgenes were expressed ectopically in the developing eyes of the flies, UAS-Aβ422X transgene resulted in a strongly reduced and rough eye phenotype, while UAS-Aβ42BL33770 only showed a strong rough eye phenotype; UAS-Aβ42H29. 3 and UAS-Aβ4211C39 had mild rough eyes. The levels of cell death and reactive oxygen species (ROS) in the eye imaginal discs were consistently the highest in UAS-Aβ422X, followed by UAS-Aβ42BL33770, UAS-Aβ4211C39, and UAS-Aβ42H29. 3. Surprisingly, the reduction in survival during the development of these lines did not correlate with cell death or ROS levels. The flies which expressed UAS-Aβ4211C39 or UAS-Aβ42H29. 3 experienced greatly reduced survival rates, although low levels of ROS or cell death were detected. Collectively, our results demonstrated that different Drosophila AD models show different phenotypic severity, and suggested that different transgenes may have different modes of cytotoxicity. Abbreviations: Aβ42: amyloid-β42; AD: Alzheimer’s disease; UAS: upstream activation sequence
Rectenna Array with RF-Uncoupled Closely-spaced Monopoles for Autonomous Localization

The crucial role of a decoupling/matching network is demonstrated for the design of a compact 868-MHz double-antenna energy harvester, driving two different rectifiers branches for the efficient powering of a wake-up radio (WUR)-enabled localization node. Two highly-coupled meandered cross-polarized monopoles, located in close proximity, are adopted for orientation-insensitive operations, thus requiring the design of a RF-decoupling and matching network before rectification. The superior performance of the two-element harvester with respect to a standard single-monopole rectenna is experimentally demonstrated in different conditions: it justifies the deployment of the presented tag for the energy autonomy of future generation RFID tags for indoor localization.
Molecular Epidemiology and Risk Factors of Carbapenemase-Producing Enterobacteriaceae Isolates in Portuguese Hospitals: Results From European Survey on Carbapenemase-Producing Enterobacteriaceae (EuSCAPE)

In Portugal, the epidemiological stage for the spread of carbapenemase-producing Enterobacteriaceae (CPE) increased from sporadic isolates or single hospital clones (2010–2013), to hospital outbreaks, later. Here we report data from a 6-month study performed under the European Survey on Carbapenemase-Producing Enterobacteriaceae (EuSCAPE). During the study period, 67 isolates (61 Klebsiella pneumoniae and 6 Escherichia coli) non-susceptible to carbapenems were identified in participant hospital laboratories. We detected 37 blaKPC–type (including one new variant: blaKPC–21), 1 blaGES–5, and 1 blaGES–6 plus blaKPC–3, alone or in combination with other bla genes. Bioinformatics analysis of the KPC-21-producing E. coli identified the new variant blaKPC–21 in a 12,748 bp length plasmid. The blaKPC–21 gene was harbored on a non-Tn4401 element, presenting upstream a partial ISKpn6 (ΔISKpn6/ΔtraN) with the related left IR (IRL) and downstream a truncated Tn3 transposon. PFGE and MLST analysis showed an important diversity, as isolates belonged to distinct PFGE and STs profiles. In this study, we highlighted the presence of the high-risk clone E. coli sequence-type (ST) 131 clade C/H30. This worldwide disseminated E. coli lineage was already detected in Portugal among other antibiotic resistance reservoirs. This study highlights the intra- and inter-hospital spread and possible intercontinental circulation of CPE isolates.
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning

Humans learn to play video games significantly faster than the state-of-the-art reinforcement learning (RL) algorithms. People seem to build simple models that are easy to learn to support planning and strategic exploration. Inspired by this, we investigate two issues in leveraging model-based RL for sample efficiency. First we investigate how to perform strategic exploration when exact planning is not feasible and empirically show that optimistic Monte Carlo Tree Search outperforms posterior sampling methods. Second we show how to learn simple deterministic models to support fast learning using object representation. We illustrate the benefit of these ideas by introducing a novel algorithm, Strategic Object Oriented Reinforcement Learning (SOORL), that outperforms state-of-the-art algorithms in the game of Pitfall! in less than 50 episodes.
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching

The matching of multiple objects (e.g. shapes or images) is a fundamental problem in vision and graphics. In order to robustly handle ambiguities, noise and repetitive patterns in challenging real-world settings, it is essential to take geometric consistency between points into account. Computationally, the multi-matching problem is difficult. It can be phrased as simultaneously solving multiple (NP-hard) quadratic assignment problems (QAPs) that are coupled via cycle-consistency constraints. The main limitations of existing multi-matching methods are that they either ignore geometric consistency and thus have limited robustness, or they are restricted to small-scale problems due to their (relatively) high computational cost. We address these shortcomings by introducing a Higher-order Projected Power Iteration method, which is (i) efficient and scales to tens of thousands of points, (ii) straightforward to implement, (iii) able to incorporate geometric consistency, (iv) guarantees cycle-consistent multi-matchings, and (iv) comes with theoretical convergence guarantees. Experimentally we show that our approach is superior to existing methods.
LSTM-Guided Coaching Assistant for Table Tennis Practice

Recently, wearable devices have become a prominent health care application domain by incorporating a growing number of sensors and adopting smart machine learning technologies. One closely related topic is the strategy of combining the wearable device technology with skill assessment, which can be used in wearable device apps for coaching and/or personal training. Particularly pertinent to skill assessment based on high-dimensional time series data from wearable sensors is classifying whether a player is an expert or a beginner, which skills the player is exercising, and extracting some low-dimensional representations useful for coaching. In this paper, we present a deep learning-based coaching assistant method, which can provide useful information in supporting table tennis practice. Our method uses a combination of LSTM (Long short-term memory) with a deep state space model and probabilistic inference. More precisely, we use the expressive power of LSTM when handling high-dimensional time series data, and state space model and probabilistic inference to extract low-dimensional latent representations useful for coaching. Experimental results show that our method can yield promising results for characterizing high-dimensional time series patterns and for providing useful information when working with wearable IMU (Inertial measurement unit) sensors for table tennis coaching.
Building an object-oriented environment for distributed manufacturing software

A description is presented of the characteristics of a programming environment for distributed manufacturing software based on an open workcell architecture. The authors consider C++ as a base language for this environment and describe extensions to the language which would make it more suitable for distributed systems integration. The main problem stems from insistence on static (compile-time) binding and type-checking and the necessity of introducing dynamic binding for convenient encapsulation of concepts such as remote procedure call. <<ETX>>
Individual differences in apology acceptance and forgiveness: the influence of handedness

ABSTRACT The purpose of the current study was to determine if the relationship between interhemispheric interaction and cognitive flexibility extends to explanations of forgiveness and apology acceptance. A growing body of research indicates that consistency of handedness may be reflective of an individual’s degree of interhemispheric interaction and access to processes of the right hemisphere. As such, individual differences in processing that require interhemispheric interaction, such as belief updating, are associated with consistency of handedness. Participants completed the Edinburgh Handedness Inventory (EHI) and read descriptions of interpersonal transgressions, then rated their willingness to forgive before and after an apology was offered. There was a main effect such that the presence of apology increased forgiveness. However, inconsistent handedness was associated with greater forgiveness prior to apology compared to consistent handedness. A second study was conducted to determine if the individual differences in forgiveness were mediated by different dimensions of empathy (personal distress, perspective taking, empathic concern and fantasy). Participants completed the Interpersonal Reactivity Index, the Forgiveness Scale and the EHI. Results revealed those with inconsistent handedness who scored lower on personal distress reported decreased negative thoughts about transgressors compared to those with consistent handedness.
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity

Regularized empirical risk minimization problem with linear predictor appears frequently in machine learning. In this paper, we propose a new stochastic primal-dual method to solve this class of problems. Different from existing methods, our proposed methods only require O(1) operations in each iteration. We also develop a variance-reduction variant of the algorithm that converges linearly. Numerical experiments suggest that our methods are faster than existing ones such as proximal SGD, SVRG and SAGA on high-dimensional problems.
PERPETUAL FLOWERING2 coordinates the vernalization response and perennial flowering in Arabis alpina

The floral repressor APETALA2 (AP2) in Arabidopsis regulates flowering through the age pathway. The AP2 orthologue in the alpine perennial Arabis alpina, PERPETUAL FLOWERING 2 (PEP2), was previously reported to regulate flowering through the vernalization pathway by enhancing the expression of another floral repressor PERPETUAL FLOWERING 1 (PEP1), the orthologue of Arabidopsis FLOWERING LOCUS C (FLC). However, PEP2 also regulates flowering independently of PEP1. To characterize the function of PEP2 we analyzed the transcriptomes of pep2 and pep1 mutants. The majority of differentially expressed genes were detected between pep2 and the wild type or between pep2 and pep1, highlighting the importance of the PEP2 role that is independent of PEP1. Here we demonstrate that PEP2 prevents the upregulation of the A. alpina floral meristem identity genes FRUITFUL (AaFUL), LEAFY (AaLFY) and APETALA1 (AaAP1) which ensure floral commitment during vernalization. Young pep2 seedlings respond to vernalization, suggesting that PEP2 regulates the age-dependent response to vernalization independently of PEP1. The major role of PEP2 through the PEP1-dependent pathway takes place after vernalization, when it facilitates PEP1 activation both in the main shoot apex and in the axillary branches. These multiple roles of PEP2 in vernalization response contribute to the A. alpina life-cycle. HIGHLIGHT The Arabis alpina APETALA2 orthologue, PERPETUAL FLOWERING2, regulates the age-dependent response to vernalization and it is required to facilitate the activation of the A. alpina FLOWERING LOCUS C after vernalization.
Deterministic and probabilistic approaches to the development of pH total maximum daily loads : a comparative analysis

The most commonly used deterministic approach to the development of total maximum daily loads (TMDLs) fails to explicitly address issues related to a margin of safety and inherent variability of streamflows in the process of TMDL development. In this paper, the deterministic approach to pH TMDL development for Beech Creek watershed, Muhlenberg County, Kentucky, proposed by Ormsbee, Elshorbagy and Zechman is discussed. The shortcomings and the limitations of the assumptions associated with the deterministic approach are highlighted. An alternative probabilistic approach, to cope with the percentile-based water quality standards based on Monte Carlo simulation, is presented and compared to the deterministic approach. The proposed probabilistic approach provides a deeper insight into the issue of uncertainty and emphasizes the importance of handling the water quality standards and TMDLs in terms of magnitude and frequency rather than a single-valued approach. Expected exceedances and the confidence of compliance with percentile-based standards are estimated. Accordingly, an objective method of estimating the margin of safety for pH TMDLs is proposed.
Transmit Beamspace-Based Unitary Parallel Factor Method for DOD and DOA Estimation in Bistatic MIMO Radar

In this paper, a novel transmit beamspace (TB)-based unitary parallel factor (PARAFAC) algorithm is proposed for direction-of-departure (DOD) and direction-of-arrival estimation in bistatic multiple-input multiple-output (MIMO) radar. A modified TB matrix is designed through convex optimization to focus the transmitted energy in the desired spatial sector. Due to the influence of the TB matrix, the tensor model after forward–backward averaging for TB-based bistatic MIMO radar cannot be written as a PARAFAC tensor model. To solve this problem, we have serious requirement for the structure of the TB matrix, which is indispensable in constructing the real-valued PARAFAC model. Based on this precondition, the TB technique can be successfully combined with the unitary PARAFAC (U-PARAFAC) method. Moreover, a look-up table is built to compensate the DOD estimation bias, which actually establishes the mapping relationship for DOD. The Cramer–Rao bound on angle estimation in TB-based bistatic MIMO radar is also derived for performance comparison. Simulation results demonstrate the effectiveness of the proposed algorithm.
α‐2‐Macroglobulin induces the shedding of microvesicles from cutaneous wound myofibroblasts

Microvesicles (MVs) are recognized as an important class of cell‐to‐cell messengers. Although the properties of MVs are increasingly documented, the mechanisms regulating MV biogenesis remain debated. Myofibroblasts are a key cellular component of wound healing and have been shown to produce MVs upon stimulation with serum. However, the mediator(s) responsible for the observed effect of serum on MV release have yet to be identified. To isolate the molecule(s) of interest, serum proteins were sequentially separated using chromatography, selective precipitation, and electrophoresis. MV production was assessed throughout the purification and after stimulation of myofibroblasts with two potent purified molecules. α‐2‐Macroglobulin (A2M) was thereby found to dose‐dependently stimulate MV release. We confirmed the presence of the A2M receptor, low‐density lipoprotein receptor‐related protein‐1 (LRP1), on myofibroblasts. Inhibition of LRP1 resulted in a significant decrease in MV production. Together, our results suggest that A2M positively regulates MV shedding through the activation of LRP1 on myofibroblasts.
The Stanford FLASH multiprocessor

The FLASH multiprocessor efficiently integrates support for cache-coherent shared memory and high-performance message passing, while minimizing both hardware and software overhead. Each node in FLASH contains a microprocessor, a portion of the machine's global memory, a port to the interconnection network, The MAGIC chip handles all communication both within the node and among nodes, using hardwired data paths for efficient data movement and a programmable processor optimized for executing protocol operations. The use of the protocol processor makes FLASH very flexible/spl minus/it can support a variety of different communication mechanisms/spl minus/and simplifies the design and implementation. This paper presents the architecture of FLASH and MAGIC, and discusses the base cache-coherence and message-passing protocols. Latency and occupancy numbers, which are derived from our system-level simulator and our Verilog code, are given for several common protocol operations. The paper also describes our software strategy and FLASH's current status. <<ETX>>
A Novel Kernel for Text Classification Based on Semantic and Statistical Information

In text categorization, a document is usually represented by a vector space model which can accomplish the classification task, but the model cannot deal with Chinese synonyms and polysemy phenomenon. This paper presents a novel approach which takes into account both the semantic and statistical information to improve the accuracy of text classification. The proposed approach computes semantic information based on HowNet and statistical information based on a kernel function with class-based weighting. According to our experimental results, the proposed approach could achieve state-of-the-art or competitive results as compared with traditional approaches such as the k-Nearest Neighbor (KNN), the Naive Bayes and deep learning models like convolutional networks.