Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Multidimensional Scaling of Network Distances and its Application to Large Bibliographic Networks

The visual analysis of similarity, proximity, and distance in networks is a frequent task in many areas of application in which relational data occur. Often the large size of the involved data sets requires efficient and scalable computational tools. In this article we describe a method for the visualization of the proximity and distance in large networks, Based on classical multidimensional scaling, it converts network proximity into geometric proximity. We illustrate the use and efficiency of this method with an application to large bibliographic networks with thousands or tens of thousands of items and present some results.
MARRIAGE, IN‐LAWS, AND CRIME: THE CASE OF DELINQUENT BROTHERS‐IN‐LAW*

With marriage comes in-laws, and if the in-laws include delinquent males, their delinquency could affect the prosocial effects of the given marriage. In this article, I focus on the effect of having a convicted brother-in-law as a general indicator of this broader phenomenon of family-formation processes impairing the positive impact of marriage on crime desistance. I use registry data on all men from birth cohorts 1965–1975 in Denmark (N = 69,066) to show that when a man marries, his new family ties to delinquent brother(s)-in-law do indeed hinder his criminal desistance. The results that take into account the characteristics of husbands, wives, their shared family-formation process, and the criminality of male family members suggest that 1) family dynamics tend to keep criminality within family networks and 2) influences from one's broader social network through marriage are important for the protective effects of marriage. Analyses of previous conviction, co-offending between a man and his brother-in-law, as well as analyses of in-laws who reside in close proximity confirm the two mentioned main findings. In all, the findings reported in this article add to our understanding of the processes by which families are tied, and how these family-formation processes influence men's behavior.
Computing Alternating Offers and Water Prices in Bilateral River Basin Management

This contribution addresses the fundamental critique in Dinar et al. [1992, Theory and Decision 32] on the use of game theory in river basin management: People are reluctant to monetary transfers unrelated to water prices and game theoretic solutions impose a computational burden. For the bilateral alternating-offers model, a single optimization program significantly reduces the computational burden. Furthermore, water prices and property rights result from exploiting the Second Welfare Theorem. Both issues are discussed and applied to a bilateral version of the theoretical river basin model in Ambec and Sprumont [2002, Journal of Economic Theory 107]. Directions for future research are provided.
CT Angiography Clot Burden Score and Collateral Score: Correlation with Clinical and Radiologic Outcomes in Acute Middle Cerebral Artery Infarct

BACKGROUND AND PURPOSE: Clot extent, location, and collateral integrity are important determinants of outcome in acute stroke. We hypothesized that a novel clot burden score (CBS) and collateral score (CS) are important determinants of clinical and radiologic outcomes and serve as useful additional stroke outcome predictors. MATERIALS AND METHODS: One hundred twenty-one patients with anterior circulation infarct presenting within 3 hours of stroke onset were reviewed. The Spearman correlation was performed to assess the correlation between CBS and CS and clinical and radiologic outcome measures. Patients were dichotomized by using a 90-day modified Rankin scale (mRS) score. Uni- and multivariate logistic regression models were used to assess variables predicting favorable clinical and radiologic outcomes. Receiver operating characteristic and intraclass correlation coefficient (ICC) analyses were performed. Diagnostic performance of a CBS threshold of >6 was assessed. RESULTS: There were 85 patients (mean age, 70 ± 14.5 years). Patients with higher CBS and CS demonstrated smaller pretreatment perfusion defects and final infarct volume and better clinical outcome (all, P < .01). CBS (P = .009) and recanalization (P = .015) independently predicted favorable outcome. A CBS >6 predicted good clinical outcome with an area under the curve of 0.75 (95% confidence interval [CI], 0.65–0.84; P = .0001), sensitivity of 73.0 (95% CI, 55.9–86.2), and specificity of 64.6 (95% CI, 49.5–77.8). The recanalization rate with intravenous recombinant tissue plasminogen activator was higher in patients with CBS >6 (P = .04; odds ratio, 3.2; 95% CI, 1.1–9.4). The ICC was 0.97 (95% CI, 0.95–0.98) and 0.87 (95% CI, 0.80–0.91) for CBS and CS, respectively. CONCLUSIONS: CBS and CS are useful additional markers predicting clinical and radiologic outcomes.
Modelling Adaptive InformationRetrievalF

In this paper we present a network model that can be used to produce conceptual and logical schemas for Information Retrieval applications. The model has interesting adaptability characteristics and can indeed be instantiated in various e ective ways. The paper also reports the results of an experimental investigation into the e ectiveness of associative and adaptive retrieval on the model by means of Neural Networks. The implementation makes use of the learning and generalisation capabilities of the Backpropagation learning procedure to build up and use application domain knowledge in the form of a sub-symbolic knowledge representation. The knowledge is acquired from examples of queries and relevant documents. Three di erent learning strategies are introduced, their performance analysed and compared with the performance of a traditional Information Retrieval system. 2
Using 67Cu to Study the Biogeochemical Cycling of Copper in the Northeast Subarctic Pacific Ocean

Microbial copper (Cu) nutrition and dissolved Cu speciation were surveyed along Line P, a coastal to open ocean transect that extends from the coast of British Columbia, Canada, to the high-nutrient-low-chlorophyll (HNLC) zone of the northeast subarctic Pacific Ocean. Steady-state size fractionated Cu uptake rates and Cu:C assimilation ratios were determined at in situ Cu concentrations and speciation using a 67Cu tracer method. The cellular Cu:C ratios that we measured (~30 µmol Cu mol C-1) are similar to recent estimates using synchrotron x-ray fluorescence (SXRF), suggesting that the 67Cu method can determine in situ metabolic Cu demands. We examined how environmental changes along the Line P transect influenced Cu metabolism in the sub-microplankton community. Cellular Cu:C assimilation ratios and uptake rates were compared with net primary productivity, bacterial abundance and productivity, total dissolved Cu, Cu speciation, and a suite of other chemical and biological parameters. Total dissolved Cu concentrations ([Cu]d) were within a narrow range (1.46 to 2.79 nM), and Cu was bound to a ~5-fold excess of strong ligands with conditional stability constants ( ) of ~1014. Free Cu2+ concentrations were low (pCu 14.4 to 15.1), and total and size fractionated net primary productivity (NPPV; µg C L-1 d-1) were negatively correlated with inorganic Cu concentrations ([Cu′]). We suggest this is due to greater Cu′ drawdown by faster growing phytoplankton populations. Using the relationship between [Cu′] drawdown and NPPV, we calculated a regional photosynthetic Cu:C drawdown export ratio between 1.5 and 15 µmol Cu mol C-1, and a mixed layer residence time (2.5 to 8 years) that is similar to other independent estimates (2-12 years). Total particulate Cu uptake rates were between 22 and 125 times faster than estimates of Cu export; this is possibly mediated by rapid cellular Cu uptake and efflux by phytoplankton and bacteria or the effects of grazers and bacterial remineralization on dissolved Cu. These results provide a more detailed understanding of the interactions between Cu speciation and microorganisms in seawater, and present evidence that marine phytoplankton modify Cu speciation in the open ocean.
An Acoustic OFDM System with Symbol-by-Symbol Doppler Compensation for Underwater Communication

We propose an acoustic OFDM system for underwater communication, specifically for vertical link communications such as between a robot in the sea bottom and a mother ship in the surface. The main contributions are (1) estimation of time varying Doppler shift using continual pilots in conjunction with monitoring the drift of Power Delay Profile and (2) symbol-by-symbol Doppler compensation in frequency domain by an ICI matrix representing nonuniform Doppler. In addition, we compare our proposal against a resampling method. Simulation and experimental results confirm that our system outperforms the resampling method when the velocity changes roughly over OFDM symbols. Overall, experimental results taken in Shizuoka, Japan, show our system using 16QAM, and 64QAM achieved a data throughput of 7.5 Kbit/sec with a transmitter moving at maximum 2 m/s, in a complicated trajectory, over 30 m vertically.
Multiple outputs frequency synthesizer

Frequency synthesizers are an essential part of any modern electronic system. They generate clock with desired frequency used for next signal processing. The fine frequency resolution, low spurious signals, accuracy and stability are most important for these devices. In this paper, the new principle of multiple output fractional frequency synthesizer architecture based on digital circuits is presented. The software version, realized by microcontrollers was also tested. The theory is confirmed by simulation; moreover measuring results are also presented. The new synthesizer can be used also as a universal building block (fractional divider) in phase locked loop frequency synthesizers.
Economic Organization in the Knowledge Economy Some Austrian Insights

I critically discuss recent claims about economic organization in the emerging “knowledge economy,” specifically that authority relations will tend to disappear (or at least become radically transformed), the boundaries of the firm will blur, and coordination mechanisms will be much more malleable than assumed in organizational economics, resulting in various “new organizational forms. ” In particular, the price mechanism will be used inside hierarchies to a much greater extent. In order to obtain an analytical focus on the knowledge economy, I assume that it may be approximated by “Hayekian settings” (after Hayek 1945), that is, settings in which knowledge is distributed and where knowledge inputs are relatively more important in production than physical capital inputs. I then argue, drawing on organizational economics as well as Mises’ insights in property rights and comparative systems, that the presence of Hayekian settings does not mean that authority will disappear, etc., although economic organization will in fact be affected by the emergence of the knowledge economy. This suggests that Austrian economics has an important contribution to make to the study of economic organization.
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads

Scientific discoveries are increasingly driven by analyzing large volumes of image data. Many new libraries and specialized database management systems (DBMSs) have emerged to support such tasks. It is unclear how well these systems support real-world image analysis use cases, and how performant the image analytics tasks implemented on top of such systems are. In this paper, we present the first comprehensive evaluation of large-scale image analysis systems using two real-world scientific image data processing use cases. We evaluate five representative systems (SciDB, Myria, Spark, Dask, and TensorFlow) and find that each of them has shortcomings that complicate implementation or hurt performance. Such shortcomings lead to new research opportunities in making large-scale image analysis both efficient and easy to use.
Acceleration of Low-temperature Bainite

Recent work has shown that bainitic ferrite plates produced by transformation at low temperatures can be as thin as 20 nm with a hardness in excess of 650 HV. However, it may take several days in order to achieve the required degree of transformation at low temperatures. In this work we report methods for accelerating the rate of reaction without compromising strength.
Benchmarking Inertial Sensor-Aided Localization and Tracking Methods

This paper investigates means to benchmark methods for camera pose localization and tracking that in addition to a camera image make use of inertial sensor measurements. In particular the direction of the gravity has recently shown to provide useful information to aid vision-based approaches making them outperform visiononly methods. Obviously, it is desirable to benchmark the performance of such methods and to compare them with state-of-the-art approaches, but to the best of our knowledge, all publicly available benchmarking datasets unfortunately lack gravity information. We present different simple means to generate one’s own benchmarks for inertial sensor-aided localization and tracking methods and most considerably show how existing datasets, that do not have inertial sensor data, can be exploited. We demonstrate how to evaluate Gravity-Aligned Feature Descriptors (GAFD) and GravityRectified Feature Descriptors (GREFD) on an existing benchmark dataset with ground truth poses. By synthesizing gravity measurements from these poses we achieve similar results to using real sensor measurements at significantly less effort. Most importantly, the proposed procedure enables the comparison with existing evaluation results on the same data. The paper concludes with a requirements analysis and suggestions for the design of future benchmarking datasets for localization and tracking methods.
Generation of Mesoscale Magnetic Fields and the Dynamics of Cosmic Ray Acceleration

The problem of the cosmic ray origin is discussed in connection with their acceleration in supernova remnant shocks. The diffusive shock acceleration mechanism is reviewed and its potential to accelerate particles to the maximum energy of (presumably) galactic cosmic rays ($10^{18}eV $) is considered. It is argued that to reach such energies, a strong magnetic field at scales larger than the particle gyroradius must be created as a result of the acceleration process, itself. One specific mechanism suggested here is based on the generation of Alfven wave at the gyroradius scale with a subsequent transfer to longer scales via interaction with strong acoustic turbulence in the shock precursor. The acoustic turbulence in turn, may be generated by Drury instability or by parametric instability of the Alfven waves.
Derivation of the Hard Deadlines of Multi-Sampled Tasks

When a failure or upset occurring in a controller computer induces a task failure durable for a substantial period, system dynamics apparently deviates from its desirable sample paths, and loses its stability in an extreme case for the period to exceed the hard deadline in a real-time control system. In the paper, we propose an algorithm to combine the deadlines of all elementary tasks (derived formerly by our work [1]) executed in several operation modes with multi-sampling periods. This results in computing the hard deadline of the entire system through modifying task-state equations to capture the effects of task failures and inter-correlations among tasks. key words: Real-time system, deadline, failure/upset, stability
A comparative study of synchronization algorithms in distributed systems

A distributed system is a collection of independent computers that appears to its users as a single coherent system and sharing the common resources. Multiple processes do not simultaneously access a shared resource so, requires the synchronization. We are having the four synchronization algorithms in distributed systems. This paper describes the pros & cons of each algorithm. In this we are comparing these four algorithms (Centralized, Decentralized, Distributed and Token Ring algorithms) with appropriate comparative measurements such as time complexity, delay, redundancy, scalability, failure rate & recovery. Based on this comparative study in future we are going to address the problems in the existing synchronization algorithms.
Commutativity-based concurrency control for abstract data types

Two novel concurrency control algorithms for abstract data types are presented. The algorithms ensure serializability of transactions by using conflict relations based on the commutativity of operations. It is proved that both algorithms ensure a local atomicity property called dynamic atomicity. This means that the algorithms can be used in combination with any other algorithms that also ensure dynamic atomicity. The algorithms are quite general, permitting operations to be both partial and nondeterministic. , They permit the results returned by operations to be used in determining conflicts, thus permitting higher levels of concurrency than is otherwise possible. The descriptions and proofs encompass recovery as well as concurrency control. The two algorithms use different recovery methods: one uses intentions lists, and the other uses undo logs. It is shown that conflict relations that work with one recovery method do not necessarily work with the other. A general correctness condition that must be satisfied by the combination of a recovery method and a conflict relation is identified. <<ETX>>
Case-control study of indoor cooking smoke exposure and cataract in Nepal and India.

BACKGROUND The prevalence of cataract is higher in developing countries, and in both developed and developing countries more females than males are blind from cataracts. Three epidemiological studies have associated indoor cooking with solid fuels (e.g. wood or dung) and cataract or blindness. However, associations in these studies may have been caused by unmeasured confounding. METHODS A hospital-based case-control study was conducted on the Nepal-India border. Cases (n = 206) were women patients, aged 35-75 years with confirmed cataracts. Controls (n = 203), frequency matched by age, were patients attending the refractive error clinic at the same hospital. A standardized questionnaire was administered to all participants. Logistic regression analysis involved adjustment for age, literacy, residential area, ventilation, type of lighting, incense use, and working outside. RESULTS Compared with using a clean-burning-fuel stove (biogas, LPG, or kerosene), the adjusted odds ratio (OR) for using a flued solid-fuel stove was 1.23 [95% confidence interval (CI) 0.44-3.42], whereas use of an unflued solid-fuel stove had an OR of 1.90 (95% CI 1.00-3.61). Lack of kitchen ventilation was an independent risk factor for cataract (OR 1.96; 95% CI 1.25-3.07). CONCLUSION This study provides confirmatory evidence that use of solid fuel in unflued indoor stoves is associated with increased risk of cataract in women who do the cooking. The association is not likely to be due to bias, including confounding, and strengthens the findings of three previous studies. Replacing unflued stoves with flued stoves would greatly reduce this risk, although cooking with cleaner-burning fuels would be the best option.
A Fast Gain Stage Suitable for High Performance Pipeline ADCs

A new circuit technique for voltage gain enhancement in CMOS op amp design suitable for low voltage and high speed operation is presented. In this paper, a new operational amplifier is presented that improves the specifications such as dc gain and speed virtually . To obtain these improvements, we have used the two important concepts of positive feedback and replica amplification.
Applied temporal Rule Mining to Time Series

Association rule mining from time series has attracted considerable interest over the last years and various methods have been developed. Temporal rules between discovered episodes provide useful knowledge for the dynamics of the problem domain and the underlying data generating process. However, temporal rule mining has received little attention over the last years. In addition, the proposed methods suffer from two significant drawbacks. First the rules they produce are not robust enough with respect to noise. Second the proposed methods are highly dependent on the choice of the parameters since small perturbations on the parameters lead to significantly different results. In this paper we propose a frame-work to derive temporal rules from time series. Our approach is based on episode rule mining that discovers temporal rules from time series in the frequency domain using the discrete cosine transform. The rules are then translated to temporal relations between time series patterns of arbitrary length. Experimental results of the proposed framework are presented in the relevant section.
Mitochondrial Functional Changes Characterization in Young and Senescent Human Adipose Derived MSCs

Mitochondria are highly dynamic organelles that in response to the cell's bio-energetic state continuously undergo structural remodeling fission and fusion processes. This mitochondrial dynamic activity has been implicated in cell cycle, autophagy, and age-related diseases. Adult tissue-derived mesenchymal stromal/stem cells present a therapeutic potential. However, to obtain an adequate mesenchymal stromal/stem cell number for clinical use, extensive in vitro expansion is required. Unfortunately, these cells undergo replicative senescence rapidly by mechanisms that are not well understood. Senescence has been associated with metabolic changes in the oxidative state of the cell, a process that has been also linked to mitochondrial fission and fusion events, suggesting an association between mitochondrial dynamics and senescence. In the present work, we studied the mitochondrial structural remodeling process of mesenchymal stromal/stem cells isolated from adipose tissue in vitro to determine if mitochondrial phenotypic changes were associated with mesenchymal stromal/stem cell senescence. For this purpose, mitochondrial dynamics and oxidative state of stromal/stem cell were compared between young and old cells. With increased cell passage, we observed a significant change in cell morphology that was associated with an increase in β-galactosidase activity. In addition, old cells (population doubling seven) also showed increased mitochondrial mass, augmented superoxide production, and decreased mitochondrial membrane potential. These changes in morphology were related to slightly levels increases in mitochondrial fusion proteins, Mitofusion 1 (MFN1), and Dynamin-related GTPase (OPA1). Collectively, our results showed that adipose tissue-derived MSCs at population doubling seven developed a senescent phenotype that was characterized by metabolic cell changes that can lead to mitochondrial fusion.