Miracle-dz/UniFAR-FTUs huggingface dataset:
Employing named entities for semantic retrieval of news videos in Turkish

Named entities are known to be important means for semantic annotation of news texts. Considerable work has been carried out for semantic indexing of both textual news and news videos especially in English through the employment of named entities extracted from textual news or transcriptions of the news videos. In this paper, we present our semantic retrieval architecture for news videos in Turkish based on prior semantic annotation of the videos with the corresponding named entities in the news transcription texts. We employ a rule-based named entity recognizer for Turkish which makes use of handcrafted sets of lexical resources and pattern bases. We compiled a small corpus of Turkish news videos and the named entity recognizer in its current form achieves a success rate of about 75% on this corpus. A retrieval interface is implemented to access the video corpus through the boolean queries formed with the extracted named entities. The interface currently does not involve any ranking procedure, displaying all the videos, the transcription texts of which satisfy the boolean query posed through the interface, sorted by their broadcast date. The presented study is significant for its being the first study to perform automatic semantic video annotation on a genuine news video corpus in Turkish and demonstrating the utilization of the annotations through a retrieval interface.
An enhanced reasoning approach for multimodal inspection data fusion

Multimodal inspection is widely used in the diagnosis and evaluation for complex engineering systems. By the use of multiple sensors, a reasonable reasoning approach is required to fuse multi-data acquired over conventional single modality sensors in inspection. In this paper, an enhanced evidential reasoning algorithm to effectively combine uncertain information is presented. We begin with a summary of the relative strength and weakness of vague sets and D-S theory, then the similarity between them is discussed, thereafter an enhanced reasoning algorithm is proposed by combining vague sets and D-S theory to realize the diagnosis and evaluation under the situation in which the presented information from various source is not only uncertain but also imprecise and vague. An example is finally given to illustrate the discussion.
The cyclical advancement of drastic technologies

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sector are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975-1992 into the effects of capital intensification, knowledge assimilation and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.
Active Control of Nonlinear Disturbances in a Blasius Boundary Layer (Keynote)

Using the tools of Direct Numerical Simulation (DNS) and Linear Stability Theory (LST) we are studying active concepts to control nonlinear stages of transition. Besides the investigation of the well known wave superposition approach we developed a new method to actively control transitional disturbances. This concept uses the feedback of instantaneous flow data (wall shear stress or spanwise vorticity), obtainable at the wall to drive plain actuators. Avoiding long propagation distances between sensor and actuator this procedure (called ωz -control ) results in a very effective damping in linear and nonlinear cases. With some extra improvements like spatial filters between sensor and actuator it is possible to delay transition even in strongly nonlinear scenarios like the K-breakdown scenario (transition due to fundamental resonance). Both methods have been investigated in a Blasius boundary layer. Besides the K-breakdown already mentioned for basic investigations a “linear” scenario was used, consisting of Tollmien-Schlichting waves with different propagation angles.Copyright © 2002 by ASME
Example 1 – The Schelling Model of Racial Segregati on Extended with a Friendship Network and Fear The Schelling model of racial segregation

Even social entities such as: humans, animals, hous e lds, firms etc. exist in physical space. The wa y these entities are distributed in that space is frequentl y important to us. Some of this distribution can be clearly attributed to economic and environmental factors th at are essentially independent of the social intera c ion between these entities . However it is overwhelmingly likely that some of the distribution is due to the interaction between these entities – i.e. the spati al organisation of the collection of such entities is (at least partially) self-organised via processes of social i nteraction.
A history of the new thought movement

THE Great War came as a vivid reminder that we live in a new age. We began to look back not only to explain the war and find a way to bring it to an end, but to see what tendencies were in process to lead us far beyond it. There were new issues to be met and we needed the new enlightenment to meet them. The war was only one of various signs of a new dispensation. It came not so much to prepare the way as to call attention to truths which we already possessed. The new age had been in process for some time. Different ones of us were trying to show in what way it was a new dispensation, what principles were most needed. What the war accomplished for us was to give us a new contrast. As a result we now see clearly that some of the tendencies of the nineteenth century which were most warmly praised are not so promising as we supposed.
The mean seasonal cycle in sea level estimated from a data‐constrained general circulation model

Received 9 August 2007; revised 19 October 2007; accepted 6 December 2007; published 29 March 2008. [1] A near-global ocean state estimate over the period 1992–2004 is used to study the mean seasonal cycle in sea level z. The state estimate combines most available observations, including all the altimetric missions, with a general circulation model in an optimization procedure. The annual cycle tends to be larger than the semi-annual one, except in tropical regions. For global mean z, annual thermosteric and freshwater terms are nearly out-of-phase and lead to an annual cycle of only a few mm in amplitude. Regionally, surface wind stress and heat flux are the primary drivers for seasonal z variations in the tropics and midlatitudes, respectively, with both mechanisms playing a role at high latitudes. A substantial part of the annual z variability can be assigned to changes in thermosteric height in the upper 100 m in midlatitudes and 200 m in the tropics. Bottom pressure variability is larger at high latitudes, and also in some regions in the Southern Ocean and North Pacific. Apparent nonlinear rectification processes lead to a noticeable impact of submonthly forcing on the annual cycle in the western North Atlantic and North Pacific. Other features include the substantial z gradients associated with strong spatial variability in seasonal surface heat flux in some western boundary regions, the damping effects of surface heat flux on the seasonal cycle in the tropics, and the importance of wind driving and bottom pressure in shallow regions, which can cause differences in the seasonal cycle in some coastal and contiguous deep-ocean regions.
Relay Selection and Discrete Power Control for Cognitive Relay Networks via Potential Game

In this paper, we study the joint relay selection and discrete power control problem for cognitive relay networks via a game-theoretic approach subject to the interference power constraint at the primary receivers and the total available power constraint for the secondary relays. The problem is formulated as a noncooperative game where the achievable rate of the cognitive relay network is used to design a common utility. This game is shown to be a potential game which possesses at least one pure strategy Nash equilibrium (NE) and an optimal strategy profile that maximizes the rate of cognitive relay network constitutes a pure strategy NE of our proposed game. We prove that under some mild conditions, our proposed game can guarantee the feasibility of a pure strategy NE without advance knowledge of infeasible strategy profiles. Moreover, we find that the price of anarchy (PoA) of our proposed game is equal to 1 under some conditions. In order to achieve the pure strategy NE, we design a centralized iterative algorithm and a decentralized stochastic learning algorithm based on learning automata. The convergence and the complexity of our designed algorithms are discussed. It is shown that our designed algorithms can achieve optimal or near-optimal rate performance with low complexity.
A Comparison of Migration Strategy of Mobile Agent System

Mobile Agents are autonomous and proactive software entities which act on behalf on an owner and have the ability to migrate through a heterogeneous network of computer . A mobile agent can also decide when to migrate and which node to access. In the past few years, mobile agent (MA) paradigm has received a great deal of attention. While MAs have generated considerable excitement in the research community, they have not translated into a significant number of real-world applications. One of the main reasons for this is the lack of work that quantitatively evaluates the effectiveness of mobile agents versus traditional approaches. Of course, while the technology is indeed impressive, it also has raised some concerns about migration cost of mobile agent. This paper provides a comparison of migration strategy of mobile agent.
The Luminosity Calibration of SNe Ia: Present Status

Blue Supernovae of Type Ia (SNe Ia) have become the most important objects in cosmology being of exceptionally uniform luminosity. Used as relative distance indicators they map deviations from pure Hubble flow and determine the cosmological constant Lambda. Once their absolute magnitude is determined they provide the best estimate of the large-scale value of the Hubble constant H_0. An HST project is reviewed where Cepheid distances are used for the luminosity calibration of SNe Ia. The mean luminosity of 8 SNe Ia is M_B(max)= -19.47 +/- 0.07, M_V(max)= -19.48 +/- 0.07, corresponding -- after small corrections for second parameters -- to H_0(cosmic)= 59 +/- 5.
Flexible exception handling in a multi-agent enactment model for knowledge-intensive processes

Exceptions in knowledge-intensive processes are often the result of resource failures. Following a knowledge-based approach we demonstrate how semantic information about the resources involved and a set of generic event-condition-action rules are used to handle resource-related exceptions within a multi-agent enactment environment. The scenario of an IT-helpdesk is used to illustrate the application of the concepts described within a practical environment.
Efficient induction of transgene-free human pluripotent stem cells using a vector based on Sendai virus, an RNA virus that does not integrate into the host genome

Induced pluripotent stem cells (iPSC) have been generated from somatic cells by introducing reprogramming factors. Integration of foreign genes into the host genome is a technical hurdle for the clinical application. Here, we show that Sendai virus (SeV), an RNA virus and carries no risk of altering host genome, is an efficient solution for generating safe iPSC. Sendai-viral human iPSC expressed pluripotency genes, showed demethylation characteristic of reprogrammed cells. SeV-derived transgenes were decreased during cell division. Moreover, viruses were able to be easily removed by antibody-mediated negative selection utilizing cell surface marker HN that is expressed on SeV-infected cells. Viral-free iPSC differentiated to mature cells of the three embryonic germ layers in vivo and in vitro including beating cardiomyocytes, neurons, bone and pancreatic cells. Our data demonstrated that highly-efficient, non-integrating SeV-based vector system provides a critical solution for reprogramming somatic cells and will accelerate the clinical application.
Diversifying the risk through portfolio investment

The stock exchange markets are characterized by high dynamics of the investment activity, mainly portfolio investments. The existing relation between yield and risk, on one side, and the portfolio diversification, on the other side, are two basic aspects allowing the investors to build up a portfolio founded on the yield and risk targets which they are aiming. In the frame of this article we have applied the Marcowitz model on a number of portfolios of equities issued by commercial companies listed at the Bucharest Stock Exchange on the main REGS market.
The effect of using the internal audit function as a management training ground on the external audi

ABSTRACT: This study examines how using the internal audit function (IAF) as a management training ground (MTG) affects external audit fees and the external auditors' perceptions of the IAF. Over half of all companies that have an IAF specifically hire internal auditors with the purpose of rotating them into management positions (or cycle current employees into the IAF for a short stint before promoting them into management positions). Using archival data, we find that external auditors charge higher fees to companies that use the IAF as a MTG. Using an experiment, we provide evidence as to why fees are higher. Specifically, we find that external auditors perceive internal auditors employed in an IAF used as a MTG to be less objective but not less competent than internal auditors employed in an IAF not used as a MTG. These results have important implications for the many companies that use their IAF as a MTG. Data Availability: Contact the authors. Data provided by the Institute of Internal Auditors Rese.
Improving the statistical variability of delay-based physical unclonable functions

Physical Unclonable Functions (PUFs) are circuits which exploit the statistical variability of the fabrication process to create a unique device identity. PUFs have been used in the design of cryptographic primitives for applications like device authentication, key generation and intellectual property protection. Due to its small cost and design simplicity, delay-based Arbiter PUFs (APUFs) have been considered a cryptographic engine candidate for the integration into low-cost IoT devices (e.g. RFID tags). Although APUFs have been extensively studied in the literature, not much work has been done in understanding how to improve its response variability using VLSI design techniques. This paper uses extensive AMS 350nm SPICE-based Monte-Carlo simulation to analyze how the proper selection of arbiter element and gate sizing can affect the delay variability of APUFs. Experimental results show that the combination of the appropriate arbiter and gate sizing configuration can considerably improve the Hamming Weight distribution of the APUF response, thus resulting in more reliable and less biased designs.
Data Compression in Database Query Processing

Row-oriented databases (or “row-store”) employ data compression methods (like dictionary encoding) to reduce the I/O cost by decreasing the data sizes. However, there are two limitations on row-stores when applying data compression schemes: (1) row-stores only allow encoding one single value at a time, and (2) they have to pay the decompression cost in query processing. The above shortcomings limit the wide usage of data compression in row-oriented databases. On the contrary, column-oriented databases (or “columnstore”) provide more opportunities for data compression as the values of the same attribute are stored consecutively. In a column-oriented database, compression schemes that encode multiple values crossing multiple rows at once are allowed, but such schemes do not work in row-stores. In addition, column-stores can sometimes perform queries directly on compressed data without decompression, which yields the ultimate performance boost, since the I/O cost is saved by accessing less data and the decompression cost is also avoided. However, column-stores do not consider heavyweighted compressions since they can not support random accesses, though they have high compression qualities. This research exam report surveys different compression techniques on both row-stores and column-stores. For each compression scheme, we first review the existing work, then present our ideas. In addition, we introduce a class of queries that both row-stores and column-stores miss key opportunities to answer them efficiently. Then we present a new data structure, which allows both light-weighted and heavyweighted data compressions, to answer the queries efficiently.
Staying on Task: Age-Related Changes in the Relationship Between Executive Functioning and Response Time Consistency.

OBJECTIVE Little is known about the relationship of executive functioning with age-related increases in response time (RT) distribution indices (intraindividual standard deviation [ISD], and ex-Gaussian parameters mu, sigma, tau). The goals of this study were to (a) replicate findings of age-related changes in response time distribution indices during an engaging touch-screen RT task and (b) investigate age-related changes in the relationship between executive functioning and RT distribution indices. METHOD Healthy adults (24 young [aged 18-30], 24 young-old [aged 65-74], and 24 old-old [aged 75-85]) completed a touch-screen attention task and a battery of neuropsychological tests. The relationships between RT performance and executive functions were examined with structural equation modeling (SEM). RESULTS ISD, mu, and tau, but not sigma, increased with age. SEM revealed tau as the most salient RT index associated with neuropsychological measures of executive functioning. Further analysis demonstrated that correlations between tau and a weighted executive function composite were significant only in the old-old group. DISCUSSION Our results replicate findings of greater RT inconsistency in older adults and reveal that executive functioning is related to tau in adults aged 75-85. These results support literature identifying tau as a marker of cognitive control, which deteriorates in old age.
A Component-Centric Access Graph Based Approach to Network Attack Analysis

Going beyond vulnerability scanning tools that make lists of known vulnerabilities locating on given individual hosts, attack graphs identify all possible attack paths that end in a state where an attacker has successfully achieved his goal. But the algorithmic complexity grows exponential in the size of the network. The access graph is proposed as a complement to the attack graph approach which is host-centric and grows polynomially with the number of hosts and so has the benefit of being computationally feasible on large networks. In this paper, we propose a novel component-centric access graph. Based on the modeling substrates for network, hosts, vulnerabilities and the component-centric access graph, the access graph generation algorithm and a number of ways the security administrator can use the resulting access graph to help secure the network are discussed. Compared with related works, our approach improves the performance and further reduces the computational cost.
Comparison of standardized uptake values measured on F-NaF PET/CT scans using three different tube current intensities

Objective To analyze standardized uptake values (SUVs) using three different tube current intensities for attenuation correction on 18FNaF PET/CT scans. Materials and Methods A total of 254 18F-NaF PET/CT studies were analyzed using 10, 20 and 30 mAs. The SUVs were calculated in volumes of interest (VOIs) drawn on three skeletal regions, namely, right proximal humeral diaphysis (RH), right proximal femoral diaphysis (RF), and first lumbar vertebra (LV1) in a total of 712 VOIs. The analyses covered 675 regions classified as normal (236 RH, 232 RF, and 207 LV1). Results Mean SUV for each skeletal region was 3.8, 5.4 and 14.4 for RH, RF, and LV1, respectively. As the studies were grouped according to mAs value, the mean SUV values were 3.8, 3.9 and 3.7 for 10, 20 and 30 mAs, respectively, in the RH region; 5.4, 5.5 and 5.4 for 10, 20 and 30 mAs, respectively, in the RF region; 13.8, 14.9 and 14.5 for 10, 20 and 30 mAs, respectively, in the LV1 region. Conclusion The three tube current values yielded similar results for SUV calculation.
Potent regulation of microglia‐derived oxidative stress and dopaminergic neuron survival: substance P vs. dynorphin

Unregulated microglial activation has been implicated as a pivotal factor contributing to Parkinson's disease. Using mesencephalic neuron‐glia cultures, we address the novel possibility that peptides endogenous to the substantia nigra (SN), substance P and dynorphin (10‐13–10‐14 M), are opposing mediators of microglial activation and consequent DA neurotoxicity. Here, we identify that substance P (10‐13–10‐14 M) is selectively toxic to DA neurons in a microglia‐dependent manner. Mechanistically, substance P (10‐13–10‐14 M) activated microglial NADPH oxidase to produce extracellular superoxide and intracellular reactive oxygen species (ROS). Neuron‐glia cultures from mice lacking a functional NADPH oxidase complex (PHOX−/−) were insensitive to substance P (10‐13–10‐14 M) ‐induced loss of DA neuron function. Mixed glia cultures from (PHOX−/−) mice failed to show a significant increase in intracellular ROS in response to substance P compared with control cultures (PHOX+/+). Further, dynorphin (10‐14 M) inhibited substance P (10‐13 M) ‐induced loss of [3H] DA uptake. Here we demonstrate a tightly regulated mechanism governing microglia‐derived oxidative stress, where the neuropeptide balance of dynorphin and substance P is critical to DA neuron survival. — Block, M. L. , Li, G. , Qin, L. , Wu, X. , Pei, Z. , Wang, T. , Wilson, B. , Yang, J., Hong, J. S. Potent regulation of microglia‐derived oxidative stress and dopaminergic neuron survival: substance P vs. dynorphin. FASEB J. 20, 251–258 (2006)
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study

This paper concerns lossy compression of images corrupted by additive noise. The main contribution of the paper is that analysis is carried out from the viewpoint of compressed image visual quality. Several coders for which the compression ratio is controlled in different manner are considered. Visual quality metrics that are the most adequate for the considered application (WSNR, MSSIM, PSNR-HVS-M, and PSNR-HVS) are used. It is demonstrated that under certain conditions visual quality of compressed images can be slightly better than quality of original noisy images due to image filtering through lossy compression. The "optimal" parameters of coders for which this positive effect can be observed depend upon standard deviation of the noise. This allows proposing automatic procedure for compressing noisy images in the neighborhood of optimal operation point, that is, when visual quality either improves or degrades insufficiently. Comparison results for a set of grayscale test images and several variances of noise are presented.