Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a 1-MVA/1-MJ Superconducting Fault Current Limiter–Magnetic Energy Storage System for LVRT Capability Enhancement and Wind Power Smoothing

A 1-MVA/1-MJ superconducting fault current limiter–magnetic energy storage system (SFCL-MES) has been developed. The SFCL-MES utilizes one superconducting coil to both enhance the low-voltage ride-through capability of wind turbine and smooth wind power output. The developed SFCL-MES was installed and put into operation in a wind farm northwest of China. This paper presents final design and test of the four major components of SFCL-MES: power conditioning system, cryogenic system, superconducting coil, and monitoring system. Test results of the SFCL-MES are also presented. Test results show that the SFCL-MES has good performance and is able to improve the power quality and reliability of wind power generation.
CoupledLP: Link Prediction in Coupled Networks

We study the problem of link prediction in coupled networks, where we have the structure information of one (source) network and the interactions between this network and another (target) network. The goal is to predict the missing links in the target network. The problem is extremely challenging as we do not have any information of the target network. Moreover, the source and target networks are usually heterogeneous and have different types of nodes and links. How to utilize the structure information in the source network for predicting links in the target network? How to leverage the heterogeneous interactions between the two networks for the prediction task? We propose a unified framework, CoupledLP, to solve the problem. Given two coupled networks, we first leverage atomic propagation rules to automatically construct implicit links in the target network for addressing the challenge of target network incompleteness, and then propose a coupled factor graph model to incorporate the meta-paths extracted from the coupled part of the two networks for transferring heterogeneous knowledge. We evaluate the proposed framework on two different genres of datasets: disease-gene (DG) and mobile social networks. In the DG networks, we aim to use the disease network to predict the associations between genes. In the mobile networks, we aim to use the mobile communication network of one mobile operator to infer the network structure of its competitors. On both datasets, the proposed CoupledLP framework outperforms several alternative methods. The proposed problem of coupled link prediction and the corresponding framework demonstrate both the scientific and business applications in biology and social networks.
Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification

This paper introduces a hybrid learning methodology that integrates genetic algorithms (GAs) and decision tree learning (ID3) in order to evolve optimal subsets of discriminatory features for robust pattern classification. A GA is used to search the space of all possible subsets of a large set of candidate discrimination features. For a given feature subset, ID3 is invoked to produce a decision tree. The classification performance of the decision tree on unseen data is used as a measure of fitness for the given feature set, which, in turn, is used by the GA to evolve better feature sets. This GA-ID3 process iterates until a feature subset is found with satisfactory classification performance. Experimental results are presented which illustrate the feasibility of our approach on difficult problems involving recognizing visual concepts in satellite and facial image data. The results also show improved classification performance and reduced description complexity when compared against standard methods for feature selection.
Mobility of 1-D GaAs Quantum Wire Limitedby Polar Optic Phonon Scattering

The polar optical phonon (POP) scattering limited mobility in 1-DEG quantum wire of GaAs has been investigated. The variation of mobility with well width for 1D GaAs quantum wire has been studied. The mobility dependence on the transverse dimension of quantum wire for different values of electron energy has been also been investigated. The results obtained at 300K for GaAs wire reveal that the variation is almost linear in nature
An algorithm for NTRU problems and cryptanalysis of the GGH multilinear map without a low-level encoding of zero

Let f and g be polynomials of a bounded Euclidean norm in the ring Z[X]/⟨X+1⟩. Given the polynomial [f/g]q ∈ Zq[X]/⟨X+1⟩, the NTRU problem is to find a, b ∈ Z[X]/⟨X + 1⟩ with a small Euclidean norm such that [a/b]q = [f/g]q. We propose an algorithm to solve the NTRU problem, which runs in 2 2 λ) time when ∥g∥, ∥f∥, and ∥g−1∥ are within some range. The main technique of our algorithm is the reduction of a problem on a field to one in a subfield. Recently, the GGH scheme, the first candidate of a (approximate) multilinear map, was found to be insecure by the Hu–Jia attack using low-level encodings of zero, but no polynomial-time attack was known without them. In the GGH scheme without low-level encodings of zero, our algorithm can be directly applied to attack this scheme if we have some top-level encodings of zero and a known pair of plaintext and ciphertext. Using our algorithm, we can construct a level-0 encoding of zero and utilize it to attack a security ground of this scheme in the quasi-polynomial time of its security parameter using the parameters suggested by [GGH13].
Bcl-2 family member Mcl-1 expression is reduced under hypoxia by the E3 ligase FBW7 contributing to BNIP3 induced cell death in glioma cells

Mcl-1 is an anti-apoptotic Bcl-2 family member that is often over-expressed in the malignant brain tumor glioblastoma (GBM). It has been previously shown that epidermal growth factor receptors up-regulate Mcl-1 contributing to a cell survival response. Hypoxia is a poor prognostic marker in glioblastoma despite the fact that hypoxic regions have areas of necrosis. Hypoxic regions of GBM also highly express the pro-cell death Bcl-2 family member BNIP3, yet when BNIP3 is overexpressed in glioma cells, it induces cell death. The reasons for this discrepancy are unclear. Herein we have found that Mcl-1 expression is reduced under hypoxia due to degradation by the E3 ligase FBW7 leading to increased hypoxia induced cell death. This cell death is reduced by EGFR activation leading to increased Mcl-1 expression under hypoxia. Conversely, BNIP3 is over-expressed in hypoxia at times when Mcl-1 expression is decreased. Knocking down BNIP3 expression reduces hypoxia cell death and Mcl-1 expression effectively blocks BNIP3 induced cell death. Of significance, BNIP3 and Mcl-1 are co-localized under hypoxia in glioma cells. These results suggest that Mcl-1 can block the ability of BNIP3 to induce cell death under hypoxia in GBM tumors.
Anesthesia Technique and Outcomes of Mechanical Thrombectomy in Patients With Acute Ischemic Stroke

Background and Purpose— The impact of anesthesia technique on the outcomes of mechanical thrombectomy for acute ischemic stroke remains an issue of debate. We investigated the association of general anesthesia with outcomes in patients undergoing mechanical thrombectomy for ischemic stroke. Methods— We performed a cohort study involving patients undergoing mechanical thrombectomy for ischemic stroke from 2009 to 2013, who were registered in the New York Statewide Planning and Research Cooperative System database. An instrumental variable (hospital rate of general anesthesia) analysis was used to simulate the effects of randomization and investigate the association of anesthesia technique with case-fatality and length of stay. Results— Among 1174 patients, 441 (37.6%) underwent general anesthesia and 733 (62.4%) underwent conscious sedation. Using an instrumental variable analysis, we identified that general anesthesia was associated with a 6.4% increased case-fatality (95% confidence interval, 1.9%–11.0%) and 8.4 days longer length of stay (95% confidence interval, 2.9–14.0) in comparison to conscious sedation. This corresponded to 15 patients needing to be treated with conscious sedation to prevent 1 death. Our results were robust in sensitivity analysis with mixed effects regression and propensity score–adjusted regression models. Conclusions— Using a comprehensive all-payer cohort of acute ischemic stroke patients undergoing mechanical thrombectomy in New York State, we identified an association of general anesthesia with increased case-fatality and length of stay. These considerations should be taken into account when standardizing acute stroke care.
Efficient parallel implementation of multilayer backpropagation networks on SpiNNaker

This paper presents an efficient implementation and performance analysis of mapping multilayer perceptron networks with the backpropagation learning rule on SpiNNaker - a massively parallel architecture dedicated for neural network simulation. A new algorithm called pipelined checker-boarding partitioning scheme is proposed for efficient mapping. The new mapping algorithm relies on a checker-board partitioning scheme, but the key advantage comes from introducing a pipelined mode. The six-stage pipelined mode captures the parallelism within each partition of the weight matrix, allowing the overlapping of communication and computation. Not only does the proposed mapping localize communication, but it can also hide a part of or even all the communication for high efficiency.
Inflammatory Cytokines as Risk Factors for Mortality After Acute Cardiac Events

Introduction: Inflammatory markers have been identified as potential indicators of future adverse outcome after acute cardiac events. Aim: This study aimed to analyze baseline inflammatory cytokines levels in patients with acute heart failure (AHF) and/or acute coronary syndrome (ACS) according to survival. The main objective was to identify risk factors for mortality after an episode of AHF and/or ACS. Methods: In this prospective longitudinal study 75 patients with the diagnosis of AHF and/or ACS were enrolled. Baseline laboratory and clinical data were retrieved. Serum and urine interleukin-6 (IL-6) and interleukin-18 (IL-18) levels, plasma B-type natriuretic peptide (BNP) and serum cystatin C values were determined. The primary outcome was in-hospital mortality while secondary outcome was six-month mortality. Results: Median serum and urine IL-6 levels, serum and urine IL-18 levels, as well as median concentrations of plasma BNP and serum cystatin C, were significantly increased in deceased in comparison to surviving AHF and/or ACS patients. Univariate Cox regression analysis identified serum IL-6, serum IL-18, urine IL-6, urine IL-18 as well as serum cystatin C and Acute Physiology and Chronic Health Evaluation (APACHE) II score as risk factors for mortality after an episode of AHF and/or ACS. Multivariate Cox regression analysis revealed that only serum IL-6 is the independent risk factor for mortality after acute cardiac events (HR 61.7, 95% CI 2.1-1851.0; p=0.018). Conclusion: Present study demonstrated the strong prognostic value of serum IL-6 in predicting mortality of patients with AHF and/or ACS.
Connecting Randomized Response, Post-Randomization, Differential Privacy and t-Closeness via Deniability and Permutation

We explore some novel connections between the main privacy models in use and we recall a few known ones. We show these models to be more related than commonly understood, around two main principles: deniability and permutation. In particular, randomized response turns out to be very modern in spite of it having been introduced over 50 years ago: it is a local anonymization method and it allows understanding the protection offered by $\epsilon$-differential privacy when $\epsilon$ is increased to improve utility. A similar understanding on the effect of large $\epsilon$ in terms of deniability is obtained from the connection between $\epsilon$-differential privacy and t-closeness. Finally, the post-randomization method (PRAM) is shown to be viewable as permutation and to be connected with randomized response and differential privacy. Since the latter is also connected with t-closeness, it follows that the permutation principle can explain the guarantees offered by all those models. Thus, calibrating permutation is very relevant in anonymization, and we conclude by sketching two ways of doing it.
Object-oriented curricula in academic programs

Object-oriented (OO) technology has permeated the field of systems development. Programming languages, analysis and design techniques, database management systems, and CASE tools increasingly reflect the growing influence of OO methods in development. Although OO is not the “silver bullet” that eliminates poor quality, over-budget and late software development projects, many see OO as the best solution to address these software development problems [8]. OO use has increased steadily in the past few years, with more growth expected in the future. As OO use increases, so too will the demand for OO developers. Existing developers can help fill this need, although retraining for OO software development is estimated to take as long as 18 months [11]. Another answer to the OO personnel shortage problem may be found in computer science (CS) and information systems (IS) degree programs. CS and IS degree programs stand poised to help organizations make the transition to OO by providing graduating students with OO skills. But, are CS and IS degree programs meeting the challenge? In early 1995 questionnaires were sent to CS and IS departments in the U.S. and Canada. Responses were received from 172 CS departments and 101 IS departments. The sample represents both private and public schools, large and small colleges, and programs of all sizes. The majority of the respondents are from colleges with less than 2,000 students and programs with less than 200 majors. Of 172 CS respondents, 152 (88%) teach OO topics, as shown in Table 1. Seventeen of the 20 respondents not teaching OO planned to adopt OO curricula; only three CS respondents did not plan to adopt it. Seventy-two of the 101 IS departments (71%) teach OO. Of the 29 not teaching OO, 17 plan to, while 12 have no plans to do so. The two main explanations given by
Dietary intakes and diet quality according to levels of organic food consumption by French adults: cross-sectional findings from the NutriNet-Santé Cohort Study

Abstract Objective We aimed to assess dietary profiles of adults from the NutriNet-Santé cohort according to different levels of organic food consumption using detailed self-reported data on organic food intakes. Design Food intakes were obtained using an organic food frequency questionnaire (Org-FFQ). The participants were ranked into five groups (quintiles, Q) according to the proportion of organic foods in their diet. To determine diet quality, two scores were computed reflecting adherence to food-based recommendations (mPNNS-GS) and the probability of adequate nutrient intake (PANDiet). Relationships between levels of organic food consumption and dietary characteristics were assessed using multivariable-adjusted ANCOVA models. Setting The NutriNet-Santé Study. Subjects French adults from the NutriNet-Santé Study (n 28 245). Results Intakes of foods of plant origin increased along with the contribution of organic foods to the diet while a reverse trend was identified for dairy products, cookies and soda (P-trend<0·0001). The diet quality scores increased from Q1 (mPNNS-GS, 7·89 (se 0·02); PANDiet: 63·04 (se 0·11)) to Q5 (mPNNS-GS, 8·78 (se 0·02); PANDiet, 69·37 (se 0·10)). Overall, high organic food consumers exhibited better diet quality, although intermediate organic food consumers showed better adherence to specific nutritional recommendations related to animal products. Conclusions The study provides new insights into the understanding of organic food consumption as a part of a healthy diet and sheds some light on the dietary profiles of different categories of organic food consumers. These results underline strong dietary behaviour correlates associated with organic food consumption that should be controlled for in future aetiological studies on organic foods and health.
Service-based Fog architecture without DNS redirection

The heterogeneous and distributed nature of the Internet of Things (IoT) is driving the need for extremely fast and fine-grained service provisioning in 5/5+G architectures and beyond. To meet these needs, it is critical to enable efficient and flexible computation and networking fabrics, that can be rapidly reconfigured to meet the computation and communication tasks at hand. In this article, we propose a novel Fog Computing architecture that translates IoT communications into service transactions, provisioned over a fast and efficient networking fabric. Service matching is provided by a network function designed using principles from Information-Centric Networks (ICN) research, routing edge requests directly to the nearest service points without expensive and slow DNS redirects. The proposed Fog substrate reduces the networking complexity and overhead while being architecturally simple. We evaluate the architecture through a comparison with how Fog might be established over existing networking fabrics and quantify the performance benefits. Evaluation results illustrate the superiority of the proposed architecture in reducing the required backhaul capacity and the path length.
Pial Collateral Reactivity During Hypertension and Aging

Background and Purpose— We investigated vasoactive properties of leptomeningeal arterioles (LMAs) under normotensive conditions and during hypertension and aging that are known to have poor collateral flow and little salvageable tissue. Methods— LMAs, identified as distal anastomotic arterioles connecting middle and anterior cerebral arteries, were studied isolated and pressurized from young (18 weeks) or aged (48 weeks) normotensive Wistar Kyoto (WKY18, n=14; WKY48, n=6) rats and spontaneously hypertensive rats (SHR18, n=16; SHR48, n=6). Myogenic tone and vasoactive responses to pressure as well as endothelial function and ion channel activity were measured. Results— LMAs from WKY18 had little myogenic tone at 40 mm Hg (8±3%) that increased in aged WKY48 (30±6%). However, LMAs from both WKY groups dilated to increased pressure and demonstrated little myogenic reactivity, a response that would be conducive to collateral flow. In contrast, LMAs from both SHR18 and SHR48 displayed considerable myogenic tone (56±8% and 43±7%; P<0.01 versus WKY) and constricted to increased pressure. LMAs from both WKY and SHR groups had similar basal endothelial nitric oxide and IK channel activity that opposed tone. However, dilation to sodium nitroprusside, diltiazem and 15 mmol/L KCl was impaired in LMAs from SHR18. Conclusions— This study shows for the first time that LMAs from young and aged SHR are vasoconstricted and have impaired vasodilatory responses that may contribute to greater perfusion deficit and little penumbral tissue. These results also suggest that therapeutic opening of pial collaterals is possible during middle cerebral artery occlusion to create penumbral tissue and prevent infarct expansion.
Airplane Crash in Guam, August 6, 1997: The Aeromedical Evacuation Response

A civilian airplane crash on the island of Guam in 1997 produced 16 burned survivors. The U.S. Army Burn Flight Team and U.S. Air Force Critical Care Air Transport Teams conducted a joint aeromedical mission in response to this disaster. This experience was reviewed from the Burn Flight Team perspective. A record of events was made during the mission, and an after-action review was conducted after the mission. Twelve patients were transported to Korea, and four critically ill patients were transported to the U.S. Army Burn Center in San Antonio, TX. The latter mission required 21 hours of in-flight critical care and was completed 4 days and 3 hours after the crash. After-action review resulted in changes in communications procedures, administrative oversight, supplies and equipment, composition of the Burn Flight Team, and readiness and training. These peacetime lessons contributed to the military’s ability to transport wartime burn casualties in ensuing years and indicate the close interdependence of the disaster response and combat missions.
Effect of Feeding Locust Bean on Nutrient Intake and Digestibility of Rabbits

This study was conducted to determine the dietary effect of roasted locust bean meal (LBM), an unconventional plant protein source, on the nutrient intake and digestibility of rabbits. The experiment was carried out using forty male and female Dutch and Chinchilla rabbits, between six to eight weeks old with an average initial live weight of 950g. The rabbits were randomly allocated to four dietary treatments, with ten rabbits per treatment and two rabbits per replicate. The experimental design used was the completely randomized design (CRD). Locust bean was roasted at about 80°C for about four to five minutes. The heat treated locust bean was milled into a coarse meal (LBM) and this was used in compounding the experimental diets. Treatment 1 (control) was maize-soybean based diet with 0% LBM while treatments 2, 3 and 4 contained 10, 20 and 30% LBM in the diets respectively. Diets were isonitrogenous and isocaloric. Nutrient intake and digestibility of rabbits were evaluated during the feeding trial which lasted for five weeks. Dry matter intake (DMI), organic matter intake (OMI), crude protein intake (CPI), acid detergent fibre intake (ADFI) and neutral detergent fibre intake (NDFI) and nutrient digestibility; dry matter digestibility (DMD), organic matter digestibility (OMD), crude protein digestibility (CPD), acid detergent fibre digestibility (ADFD) and neutral detergent fibre digestibility (NDFD) all showed non-significant differences among dietary treatments. The results obtained exhibited that LBM can be included up to 30% in the diets of weaner rabbits without negatively affecting nutrient intake and digestibility.
Localization of lung fields in HRCT images using a deep convolution neural network

Lung field segmentation is a prerequisite step for the development of a computer-aided diagnosis system for interstitial lung diseases observed in chest HRCT images. Conventional methods of lung field segmentation rely on a large gray value contrast between lung fields and surrounding tissues. These methods fail on lung HRCT images with dense and diffused pathology. An efficient prepro- cessing could improve the accuracy of segmentation of pathological lung field in HRCT images. In this paper, a convolution neural network is used for localization of lung fields in HRCT images. The proposed method provides an optimal bounding box enclosing the lung fields irrespective of the presence of diffuse pathology. The performance of the proposed algorithm is validated on 330 lung HRCT images obtained from MedGift database on ZF and VGG networks. The model achieves a mean average precision of 0.94 with ZF net and a slightly better performance giving a mean average precision of 0.95 in case of VGG net.
No-reference image sharpness metric based on directional derivatives

In this paper, we present a no-reference image sharpness metric using the directional derivatives. The main idea is from the meaning of sharp which involves a sudden or abrupt change in direction or course. In other words, people have a feeling of sharpness when they receive sudden changes in some direction during their observations of an image. The metric is composed of three steps. First, the directional derivatives of the input image are computed by directional derivative filters. Then the maximum and minimum of these directional derivatives are selected to construct the absolute changes and relative changes which are proportional to the sudden changes received by an observer. Finally, the sharpness metric is determined by a weighted average of these changes. Our experiment on three simulated blur images demonstrates the proposed sharpness metric is competitive the relevant sharpness metrics for evaluating both real and synthetic blurring.