Miracle-dz/UniFAR-FTUs huggingface dataset:
On addressing mobility issues in Wireless Mesh Networks using Software-Defined Networking

Wireless Mesh Networks (WMNs) are ad-hoc networks where no infrastructure exists and where some of the participating nodes can also act as routers to forward traffic on behalf of others. WMNs have been proposed for various applications and can greatly vary in terms of size (from a handful of nodes to thousands) and complexity (static or mobile nodes, scarce or dense etc.). Efficient and robust IP routing is essential for these networks and its performance can greatly affect all other network performance metrics such as throughput, delay, packet delivery ratio etc. A lot of routing algorithms have been proposed ever since the advent of WMNs and research is still ongoing on the topic. All of the proposed solutions are based on the principle of distributed routing where routers exchange signalization messages in order to discover the network topology. In the present paper we propose a centralized routing based on the relatively recent paradigm of Software Defined Networking (SDN). We have used NS3 to simulate a dynamic mesh network where a subset of nodes are mobile and a source host generates traffic destined to a sink host. We evaluated four common network performance metrics namely packet delivery ratio, packet drop ratio due to route unavailability, average throughput and signalling overhead. By making appropriate assumptions, we compared our solution with three of the most widely used routing protocols for WMNs namely DSDV, AODV and OLSR. Our simulations demonstrate that, under certain conditions, our solution outperforms the aforementioned distributed routing algorithms and can improve network performance.
Hyper-Compact Virtual Estimators for Big Network Data Based on Register Sharing

Cardinality estimation over big network data consisting of numerous flows is a fundamental problem with many practical applications. Traditionally the research on this problem focused on using a small amount of memory to estimate each flow's cardinality from a large range (up to $10^9$). However, although the memory needed for each flow has been greatly compressed, when there is an extremely large number of flows, the overall memory demand can still be very high, exceeding the availability under some important scenarios, such as implementing online measurement modules in network processors using only on-chip cache memory. In this paper, instead of allocating a separated data structure (called estimator) for each flow, we take a different path by viewing all the flows together as a whole: Each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. We discover that sharing at the register (multi-bit) level is superior than sharing at the bit level. We propose a framework of virtual estimators that allows us to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. Our experiment shows that the new solution can work in a tight memory space of less than 1 bit per flow or even one tenth of a bit per flow --- a quest that has never been realized before.
Scaling-Up Quantum Heat Engines Efficiently via Shortcuts to Adiabaticity

The finite-time operation of a quantum heat engine that uses a single particle as a working medium generally increases the output power at the expense of inducing friction that lowers the cycle efficiency. We propose to scale up a quantum heat engine utilizing a many-particle working medium in combination with the use of shortcuts to adiabaticity to boost the nonadiabatic performance by eliminating quantum friction and reducing the cycle time. To this end, we first analyze the finite-time thermodynamics of a quantum Otto cycle implemented with a quantum fluid confined in a time-dependent harmonic trap. We show that nonadiabatic effects can be controlled and tailored to match the adiabatic performance using a variety of shortcuts to adiabaticity. As a result, the nonadiabatic dynamics of the scaled-up many-particle quantum heat engine exhibits no friction, and the cycle can be run at maximum efficiency with a tunable output power. We demonstrate our results with a working medium consisting of particles with inverse-square pairwise interactions that includes non-interacting and hard-core bosons as limiting cases.
High-frequency Synchronization of Neuronal Activity in the Subthalamic Nucleus of Parkinsonian Patients with Limb Tremor

It has been hypothesized that in Parkinson's disease (PD) there is increased synchronization of neuronal firing in the basal ganglia. This study examines the discharge activity of 121 pairs of subthalamic nucleus (STN) neurons in nine PD patients undergoing functional stereotactic mapping. Four patients had a previous pallidotomy. A double microelectrode setup was used to simultaneously record from two neurons separated by distances as small as 250 μm. In the six patients who had limb tremor during the recording session (n = 76 pairs), the discharge pattern of 12 pairs of tremor cells (TCs) was found to be coherent at the frequency of the limb tremor. Both in-phase and out-of-phase relationships were observed between TCs. Interestingly, in these six patients, 63/129 single neurons displayed 15–30 Hz oscillations, whereas 36/76 pairs were coherent in this frequency range. Although the oscillatory frequencies were variable between patients, they were highly clustered within a patient. The phase difference between these pairs was found to be close to 0. High-frequency synchronization was observed during periods of limb tremor as well as during intermittent periods with no apparent limb tremor. In contrast, in the three patients without limb tremor during the recording session, only 1/84 neurons had high-frequency oscillatory activity, and no TCs or synchronous high-frequency oscillatory activity was observed (n = 45 pairs). These findings demonstrate that in PD patients with limb tremor, many STN neurons display high-frequency oscillations with a high degree of in-phase synchrony. The results suggest that high-frequency synchronized oscillatory activity may be associated with the pathology that gives rise to tremor in PD patients.
The Innovest Austrian Pension Fund Financial Planning Model InnoALM

This paper describes the financial planning model InnoALM we developed at Innovest for the Austrian pension fund of the electronics firm Siemens. The model uses a multiperiod stochastic linear programming framework with a flexible number of time periods of varying length. Uncertainty is modeled using multiperiod discrete probability scenarios for random return and other model parameters. The correlations across asset classes, of bonds, stocks, cash, and other financial instruments, are state dependent using multiple correlation matrices that correspond to differing market conditions. This feature allows InnoALM to anticipate and react to severe as well as normal market conditions. Austrian pension law and policy considerations can be modeled as constraints in the optimization. The concave risk-averse preference function is to maximize the expected present value of terminal wealth at the specified horizon net of expected discounted convex (piecewise-linear) penalty costs for wealth and benchmark targets in each decision period. InnoALM has a user interface that provides visualization of key model outputs, the effect of input changes, growing pension benefits from increased deterministic wealth target violations, stochastic benchmark targets, security reserves, policy changes, etc. The solution process using the IBM OSL stochastic programming code is fast enough to generate virtually online decisions and results and allows for easy interaction of the user with the model to improve pension fund performance. The model has been used since 2000 for Siemens Austria, Siemens worldwide, and to evaluate possible pension fund regulation changes in Austria.
Get Tough, Get Toxic, or Get a Bodyguard: Identifying Candidate Traits Conferring Belowground Resistance to Herbivores in Grasses

Grasses (Poaceae) are the fifth-largest plant family by species and their uses for crops, forage, fiber, and fuel make them the most economically important. In grasslands, which broadly-defined cover 40% of the Earth's terrestrial surface outside of Greenland and Antarctica, 40–60% of net primary productivity and 70–98% of invertebrate biomass occurs belowground, providing extensive scope for interactions between roots and rhizosphere invertebrates. Grasses invest 50–70% of fixed carbon into root construction, which suggests roots are high value tissues that should be defended from herbivores, but we know relatively little about such defenses. In this article, we identify candidate grass root defenses, including physical (tough) and chemical (toxic) resistance traits, together with indirect defenses involving recruitment of root herbivores' natural enemies. We draw on relevant literature to establish whether these defenses are present in grasses, and specifically in grass roots, and which herbivores of grasses are affected by these defenses. Physical defenses could include structural macro-molecules such as lignin, cellulose, suberin, and callose in addition to silica and calcium oxalate. Root hairs and rhizosheaths, a structural adaptation unique to grasses, might also play defensive roles. To date, only lignin and silica have been shown to negatively affect root herbivores. In terms of chemical resistance traits, nitrate, oxalic acid, terpenoids, alkaloids, amino acids, cyanogenic glycosides, benzoxazinoids, phenolics, and proteinase inhibitors have the potential to negatively affect grass root herbivores. Several good examples demonstrate the existence of indirect defenses in grass roots, including maize, which can recruit entomopathogenic nematodes (EPNs) via emission of (E)-β-caryophyllene, and similar defenses are likely to be common. In producing this review, we aimed to equip researchers with candidate root defenses for further research.
Ethnic identity and perceptions of the police in Turkey: the case of Kurds and Turks

ABSTRACT Drawing on the literature on minorities’ and ethnic groups’ perceptions of the police, this article investigates the differences between Kurds and Turks in terms of their perceptions of the police in Turkey. We conducted survey research using a nationally representative sample of 1804 people. Multivariate regression analysis revealed that Kurds in Turkey have a more negative perception of the police than Turks, regardless of their gender, education, income, party affiliation, and sectarian identity. It is concluded that the historical relationship between Kurds and the Turkish state has had a decisive effect on how Kurds perceive the police.
An Adaptive Multi-channel P2P Video-on-Demand System using Plug-and-Play Helpers

We present a multi-channel P2P Video-on-Demand (VoD) system using "plug-and-play" helpers. Helpers are heterogenous "micro-servers" with limited storage, bandwidth and number of users they can serve simultaneously. Our proposed system has the following salient features: (1) it minimizes the server load; (2) it is distributed, and requires little or no maintenance overhead and which can easily adapt to system dynamics; and (3) it is adaptable to varying supply and demand patterns across multiple video channels irrespective of video popularity. Our proposed solution jointly optimizes over helper-user topology, video storage allocation and bandwidth allocation. The combinatorial nature of the problem and the system demand for distributed algorithms makes the problem uniquely challenging. By utilizing Lagrangian decomposition and Markov chain approximation based arguments, we address this challenge by designing two distributed algorithms running in tandem: a primal-dual storage and bandwidth allocation algorithm and a "soft-worst-neighbor-choking" topology-building algorithm. Our scheme provably converges to a near-optimal solution, and is easy to implement in practice. Simulation results validate that the proposed scheme achieves minimum sever load under highly heterogeneous combinations of supply and demand patterns, and is robust to system dynamics of user/helper churn, user/helper asynchrony, and random delays in the network.
Change in serum COMP concentration due to ambulatory load is not related to knee OA Status

The aim of this study was to test the hypothesis that a change in serum cartilage oligomeric matrix protein (COMP) concentration is related to joint load during a 30‐min walking exercise in patients with medial compartment knee osteoarthritis (OA) and in age‐matched control subjects. Blood samples were drawn from 42 patients with medial compartment knee OA and from 41 healthy age‐matched control subjects immediately before, immediately after, and 0.5, 1.5, 3.5, and 5.5 h after a 30‐min walking exercise on a level outdoor walking track at self‐selected normal speed. Serum COMP concentrations were determined using a commercial ELISA. Basic time–distance gait variables were recorded using an activity monitor. Joint loads were measured using gait analysis. Serum COMP concentrations increased immediately after the walking exercise (+6.3% and +5.6%; p < 0.001) and decreased over 5.5 h after the exercise (−11.1% and −14.6%; p < 0.040 and p = 0.001) in patients and control subjects, respectively. The magnitude of increase in COMP concentration did not differ between groups (p = 0.902) and did not correlate with any variables describing ambulatory loads at the joints of the lower extremity. These results, taken together with a previous study of a younger healthy population, suggest the possibility that the influence of ambulatory loads on cartilage turnover is dependent on age. © 2009 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 27:1408–1413, 2009
The dimensionality of supervisor roles and behaviors : supervisors' perceptions of supervision /

2. When an image on the film is obliterated with a round black mark, it is an indication o f either blurred copy because o f movement during exposure, duplicate copy, or copyrighted materials that should not have been filmed. For blurred pages, a good image o f the page can be found in the adjacent frame. If copyrighted materials were deleted, a target note will appear listing the pages in the adjacent frame.
The Concept of Customer-Orientation and Its Implication for Competence Development

In this article we discuss the importance of customer-orientation for corporate success. Customer-orientation is not merely managerial jargon, although a quick glance through annual reports would lead one to such a conclusion. There is some substantial meaning in the concept. Customerorientation is not the exclusive right of the marketing department. In fact, we argue that customer-orientation is the core of business success, the meaning of which has to be disseminated throughout the organisation, the meaning of which has to be understood and internalised by everyone. We argue that integrated customer-orientation is the basis for corporate competence development, and thus competence development and management of core competencies becomes important for both internal and external business processes. Customer-orientation is therefore effective knowledge management.
Regulation of cerebral cortical neurogenesis by the Pax6 transcription factor

Understanding brain development remains a major challenge at the heart of understanding what makes us human. The neocortex, in evolutionary terms the newest part of the cerebral cortex, is the seat of higher cognitive functions. Its normal development requires the production, positioning, and appropriate interconnection of very large numbers of both excitatory and inhibitory neurons. Pax6 is one of a relatively small group of transcription factors that exert high-level control of cortical development, and whose mutation or deletion from developing embryos causes major brain defects and a wide range of neurodevelopmental disorders. Pax6 is very highly conserved between primate and non-primate species, is expressed in a gradient throughout the developing cortex and is essential for normal corticogenesis. Our understanding of Pax6’s functions and the cellular processes that it regulates during mammalian cortical development has significantly advanced in the last decade, owing to the combined application of genetic and biochemical analyses. Here, we review the functional importance of Pax6 in regulating cortical progenitor proliferation, neurogenesis, and formation of cortical layers and highlight important differences between rodents and primates. We also review the pathological effects of PAX6 mutations in human neurodevelopmental disorders. We discuss some aspects of Pax6’s molecular actions including its own complex transcriptional regulation, the distinct molecular functions of its splice variants and some of Pax6’s known direct targets which mediate its actions during cortical development.
GABA-Based Evaluation of Neurologic Conditions: MR Spectroscopy

SUMMARY: GABA serves as a major neurotransmitter of the brain and functions mainly to inhibit neural excitatory activity. Disruption of the GABAergic processes appears to occur in various neurologic and psychiatric conditions, including epilepsy, mood disorders, motor disorders such as focal dystonia and stiff-person syndrome, sleep disorders, neuroplasticity, and drug and alcohol dependence. These concentration differences may be ascertained by using MR spectroscopy to provide information on the concentration of different metabolites. This review briefly discusses advances in MR spectroscopy methods and explores the application of this technique to detect changes in GABA due to disease processes and medication-induced effects.
Global information from local observation

We observe a certain random process on a graph "locally", i.e., in the neighborhood of a node, and would like to derive information about "global" properties of the graph. For example, what can we know about a graph based on observing the returns of a random walk to a given node? Our main result concerns a graph embedded in an orientable surface with genus g, and a process, consisting of random excitations of edges and random balancing around nodes and faces. It is shown how to obtain the genus of the surface in polynomial time from local observations of the process restricted to a connected subgraph whose size is (essentially) O(g/sup 2/).
Female board participation and annual report readability in firms with boardroom connections

Purpose This paper aims to investigate the relationship between the female board participation and the readability of annual report. Design/methodology/approach Using hand-collected data from a “network-oriented market”, as exists in Italy, which includes 435 annual reports, this study uses a regression analysis to test whether female board participation affects the annual report readability. Findings Female board participation is found to have a positive impact on disclosure readability in firms with small boardroom connections but the opposite effect in firms with large boardroom connections. Research limitations/implications This paper responds to recent calls in the corporate governance literature by investigating whether the female board participation affects the transparency of the disclosure practices. Practical implications This study has policy implications, as it helps to improve evaluations of how, and under which circumstances, female board participation may lead to higher disclosure quality and thus benefit investors. Originality/value This paper shows that female board participation has different effects on the disclosure readability at different levels of board positions in inter-firm networks.
Attractors for a Class of Doubly Nonlinear Parabolic Systems

In this paper, we establish the existence and boundedness of solutions of a doubly nonlinear parabolic system. We also obtain the existence of a global attractor and the regularity property for this attractor in [L 1 ()] 2 and 2 Y i=1 B 1+�i,pi 1 ().
False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"

PROPUBLICA RECENTLY RELEASED a much-heralded investigative report claim­ ing that a risk assessment tool (known as the COMPAS) used in criminal justice is biased against black defendants.12 The report heavily implied that such bias is inherent in all actuarial risk assessment instruments (ARAIs). We think ProPublica’s report was based on faulty statistics and data analysis, and that the report failed to show that the COMPAS itself is racially biased, let alone that other risk instruments are biased. Not only do ProPublica’s results contradict several com­ prehensive existing studies concluding that actuarial risk can be predicted free of racial
New filtering approaches for phishing email

Phishing emails usually contain a message from a credible looking source requesting a user to click a link to a website where she/he is asked to enter a password or other confidential information. Most phishing emails aim at withdrawing money from financial institutions or getting access to private information. Phishing has increased enormously over the last years and is a serious threat to global security and economy. There are a number of possible countermeasures to phishing. These range from communication-oriented approaches like authentication protocols over blacklisting to content-based filtering approaches. We argue that the first two approaches are currently not broadly implemented or exhibit deficits. Therefore content-based phishing filters are necessary and widely used to increase communication security. A number of features are extracted capturing the content and structural properties of the email. Subsequently a statistical classifier is trained using these features on a training set of emails labeled as ham (legitimate), spam or phishing. This classifier may then be applied to an email stream to estimate the classes of new incoming emails. In this paper we describe a number of novel features that are particularly well-suited to identify phishing emails. These include statistical models for the low-dimensional descriptions of email topics, sequential analysis of email text and external links, the detection of embedded logos as well as indicators for hidden salting. Hidden salting is the intentional addition or distortion of content not perceivable by the reader. For empirical evaluation we have obtained a large realistic corpus of emails prelabeled as spam, phishing, and ham (legitimate). In experiments our methods outperform other published approaches for classifying phishing emails. We discuss the implications of these results for the practical application of this approach in the workflow of an email provider. Finally we describe a strategy how the filters may be updated and adapted to new types of phishing.