Miracle-dz/UniFAR-FTUs huggingface dataset:
Extending gravitational wave burst searches with pulsar timing arrays

Pulsar timing arrays (PTAs) are being used to search for very low frequency gravitational waves. A gravitational wave signal appears in pulsar timing residuals through two components: one independent of and one dependent on the pulsar's distance, called the ‘Earth term’ (ET) and the ‘pulsar term’ (PT), respectively. The signal of a burst (or transient) gravitational wave source in pulsars’ residuals will in general have the Earth and pulsar terms separated by times of the order of the time of flight from the pulsar to the Earth. Therefore, both terms are not observable over a realistic observation span, but the ETs observed in many pulsars should be correlated. We show that pairs (or more) of pulsars can be aligned in such a way that the PTs caused by a source at certain sky locations can arrive at Earth within a time window short enough to be captured during a realistic observation span. We find that for the pulsars within the International Pulsar Timing Array (IPTA) ∼67 per cent of the sky produces such alignments for pulsar terms separated by less than 10 years. We compare estimates of the source event rate that would be required to observe one signal in the IPTA if searching for the correlated ETs, or in searching via the PTs, and find that event rates would need to be about two orders of magnitude higher to observe an event with the PTs than the ETs. We also find that an array of hundreds of thousands of pulsars would be required to achieve a similar number of observable events in PT or ET searches. This disfavours PTs being used for all-sky searches, but they could potentially be used target-specific sources and be complementary to ET-only searches.
An approach to scalable security monitoring

A long time ago Industrial Control Systems were protected from attacks due to the use of proprietary technologies and physical isolation. This situation has changed dramatically and the systems are nowadays often prone to severe attacks executed from remote locations. In many cases, intrusions remain undetected for a long time and this allows the adversary to meticulously prepare an attack and maximize its destructiveness. The ability to detect an attack in its early stages thus has a high potential to significantly reduce its impact. To this end, the SCISSOR project proposes a holistic, multi-layered, security monitoring and mitigation framework spanning the physicaland cyber domain. The comprehensiveness of the approach demands for scalability measures built-in by design. In this paper we present how scalability is addressed by an architecture that enforces geographically decentralized data reduction approaches that can be dynamically adjusted to the currently perceived context. A specific focus is put on a robust and resilient solution to orchestrate dynamic configuration updates in the periphery of the monitoring and data collection subsystem. Experimental results obtained from a prototype implementation are in favor of the feasibility of the approach.
On the cyclicality of Irish fiscal policy

In this paper, we tackle the important issue of cyclicality in the behaviour of Irish fiscal policy. We first review arguments in favour of the optimality of countercyclical fiscal policy. Next we outline a political economy model that explains procyclical fiscal policy as the rational, albeit suboptimal, outcome of an allocation game among competing fiscal groups. In our empirical work, we find the evidence generally rejects countercyclicality in Irish fiscal policy. We conclude by briefly discussing some institutional reforms that may improve the operation of fiscal policy over the economic cycle.
Assessment of Feature Selection Metrics for Sentiment Analyses: Turkish Movie Reviews

Sentiment analysis systems pursuit the goal of detecting emotions in a given text with machine learning approaches. These texts might include three kinds of emotions such as positive, negative and neutral. Entertainment oriented texts, especially movie reviews, contain huge amount of possible emotional information. In this study, we aimed to represent each movie reviews by using small number of features. For this purpose, information gain, chi-square methods have been implemented to extract features for decreasing costs of calculations and increasing success rate. In experiments, employed corpus includes Turkish movie reviews, support vector machine and naïve bayes had been employed for classification and F1 score was used for performance evaluation. According to the experimental results, support vector machine achieved 83.9% performance value while classification of movie reviews in two (positive and negative) categories and also we obtained the 63.3% performance value while classification with support vector machine into three categories.
Can Risk Models Extract Inflation Expectations from Financial Market Data? Evidence from the Inflation Protected Securities of Six Countries

We consider an arbitrage strategy which exactly replicates the cash of of a sovereign inflation-indexed bond using infation swaps and nominal sovereign bonds. The strategy reveals a violation of the law of one price in the G7 countries which is largest for the eurozone. Testing the strategy's exposure to deflation, volatility, liquidity, economic and policy risks suggests that the observed pricing differential is an economic tail risk premium which is more pronounced in the eurozone. We conclude that ination expec- tations implied by models that view this pricing differential as compensation for risk are likely to be accurate and useful for policy-making.
Cost-Benefit Model System of Chronic Diseases in Australia to Assess and Rank Prevention and Treatment Options

Chronic diseases - eg heart disease, cancer, diabetes, mental disorders - affect around 80% of older Australians, are the main causes of disability and premature death, and account for 70% of total health expenditures. Because lifestyle patterns are major risk factors, chronic disease prevention and treatment are not only of medical concern, but also of considerable social, family-level and personal interest. While this makes microsimulation approaches particularly suitable for assessing intervention costs and benefits, such approaches will need to be combined with disease-progression models if health status and treatment choices are also to be simulated. AIMS: Describe methodological and technical proposals for the development of a cost-benefit model-system. METHODS: Several chronic disease progression models are to be linked to an ‘Umbrella’ microsimulation model representing the Australian population. To project 20 years ahead, use of reweighting techniques are proposed for population projections, disease-specific predictions and for health-related projections. The model-system is to account simultaneously for Australians’ demographic, socioeconomic and health-risk-factor characteristics; progression of their health status; the number of chronic diseases (comorbidities) they accumulate over time; health-related expenditures; and changes in quality of life. Standard methods are proposed to estimate costs versus benefits of simulated policy interventions and related quality of life improvements. KEY OUTCOME: Proposal of novel methods for modelling comorbidities - a task rarely attempted, although quality of life is known to decline and health expenditures to increase well above what a linear addition of the effects of individual chronic diseases would predict.
Effect of flushing and exogenous gonadotropin treatment on reproductive performance of estrus synchronized mature ewes

This experiment was conducted to obtain preliminary evidence on estrus synchronization and elevation of ovulation rate with flushing in conjunction with PMS (Pregnant Mare's Serum) and HCG (Human Chorionic Gonadotropin) treatment in mature ewes. Forty-eight cycling whit eface western ewes were divided into two lots of 2k ewes each. Lot I received a pelleted maintenance ration (1.39 lb TDN) for 17 days prior to breeding while lot II ewes received a pelleted high concen- trate ration (2.5 lb TDN) for an equal period of time. The progestin, Repromix, MAP in soybean oil meal, was fed orally in the daily allotted pelleted ration at a level of 60 mg per ewe. On day 15, 12 ewes, one-half the total number, from each lot were injected subcutaneously with 750 III PMS. MAP treatment was discontinued on day 17. On day 19, 12 ewes, six PMS treated and six non-treated, in both lots were injected intramuscularly with 500 IU
DART/CAM: An Ensemble Data Assimilation System for CESM Atmospheric Models

AbstractThe Community Atmosphere Model (CAM) has been interfaced to the Data Assimilation Research Testbed (DART), a community facility for ensemble data assimilation. This provides a large set of data assimilation tools for climate model research and development. Aspects of the interface to the Community Earth System Model (CESM) software are discussed and a variety of applications are illustrated, ranging from model development to the production of long series of analyses. CAM output is compared directly to real observations from platforms ranging from radiosondes to global positioning system satellites. Such comparisons use the temporally and spatially heterogeneous analysis error estimates available from the ensemble to provide very specific forecast quality evaluations. The ability to start forecasts from analyses, which were generated by CAM on its native grid and have no foreign model bias, contributed to the detection of a code error involving Arctic sea ice and cloud cover. The potential of param.
of the taxonomy , biology and infection strategies of " biflagellate holocarpic " parasites of nematodes

This review discusses the taxonomy, patterns of sporogenesis and modes of infection of a group of little studied holocapic pathogens of bactivorous nematodes (and rotifers) from terrestrial and marine habitats. These holocarpic obligate parasites have been traditionally placed within the "Iagenidiaceous oomycetes" although Haptoglossa had been placed in the Saprolegniales. The nematode pathogens that will be discussed fall within the genera C/amydomyzium, Gonimocheate, Haptoglossa and Myzocytiopsis. The patterns of asexual and sexual sporogenesis will be described in detail in the light of recent ultrastructural studies that we have undertaken. We conclude by discussing the main infection strategies employed by these organisms which we categorise into active and passive types. In the former, zoospores actively locate their host (by chemotaxis) and encyst on the host surface immediately prior to infection. In the latter types, the zoospores or aplanospores rapidly germinate to form either specialised adhesive structures (in Myzocytiopsidalean species) or specialised infective cells (in Haptoglossa). These "primed spores" attach to or fire in response to host contact. From these studies we conclude that these groups are probably fairly diverse and it is likely that their taxonomic status will have to be substantially revised in the light of ongoing ultrastructural and molecular studies.
On extreme faces of projective point configurations

In this paper we investigate a problem concerning configurations of points obtained through permissible projective transformations. We investigate the maximum number of vertices and facets of the polytope formed by taking the convex hull of such configurations. We also answer a question due to Pach and Szegedy concerning minimal Radon partitions that turns out to be closely related to our problem via Gale transforms.
Application Note 1 Predicting monoclonal antibody stability in different formulations using the UNit

A biologic therapeutic is typically a protein, the building blocks and machinery of life. Proteins are fundamentally more complicated than small molecules as they are (relatively) large macromolecules with a high degree of complexity of structure and function. Typically administered in solution, the molecules are held together by a combination of short range interactions within the molecule and with the solvent, and longer range forces such as electrostatics.
How to measure and test phylogenetic signal

1. Phylogenetic signal is the tendency of related species to resemble each other more than species drawn at random from the same tree. This pattern is of considerable interest in a range of ecological and evolutionary research areas, and various indices have been proposed for quantifying it. Unfortunately, these indices often lead to contrasting results, and guidelines for choosing the most appropriate index are lacking.
A Multi-Study Investigation into Dead Code

Dead code is a bad smell and it appears to be widespread in open-source and commercial software systems. Surprisingly, dead code has received very little empirical attention from the software engineering research community. In this paper, we present a multi-study investigation with an overarching goal to study, from the perspective of researchers and developers, when and why developers introduce dead code, how they perceive and cope with it, and whether dead code is harmful. To this end, we conducted semi-structured interviews with software professionals and four experiments at the University of Basilicata and the College of William & Mary. The results suggest that it is worth studying dead code not only in the maintenance and evolution phases, where our results suggest that dead code is harmful, but also in the design and implementation phases. Our results motivate future work to develop techniques for detecting and removing dead code and suggest that developers should avoid this smell.
Running head: SOCIAL MEDIA AND DEPRESSION SYMPTOMS 1 Revision of XGE-2018-0907R1 as invited by the action editor, Andrew Conway. Running head: SOCIAL MEDIA AND DEPRESSION SYMPTOMS 2 Social Media and Depression Symptoms: A Network Perspective

Passive social media use (PSMU) – e.g., scrolling through social media News Feeds – has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress seven times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate 1) contemporaneous, 2) temporal, and 3) between-subjects associations among these variables. 1) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. 2) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. 3) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships.
Model-Based Control of FES Embedding Simultaneous Volitional EMG Measurement

There are over one million people in the UK with upper limb impairment following stroke. Artificial activation of muscle can be achieved using functional electrical stimulation (FES), and enable recovery by facilitating task practice. Signicant clinical research supports the utility of FES for both orthotic and therapeutic purposes, and shows that the effectiveness is maximised when applied concurrently with a patient's voluntary effort. Voluntary effort can be captured using electromyography (EMG), however existing FES control schemes using EMG are predominantly open-loop and fail to provide accurate assistance. In this paper, a model of the dynamic interaction between voluntary and evoked muscle activation is developed, embedding both nonlinear recruitment and activation dynamics. Then an identification method is proposed suitable for clinical application. This enables a model-based, hybrid EMG/FES control scheme to be developed, allowing the dual objectives of tracking and volitional intention support to be optimized for the first time. Experimental results show that the tracking performance of the controller is far more effective compared to previous FES approaches which neglect voluntary action.
Conjoint Measurement

The conjoint measurement approach (also referred to as conjoint analysis or trade-off analysis) is an empirical research method for studying individual preferences or (purchase) decisions, determining trade-offs, segmenting groups with similar values, and simulating reactions to novel products or scenarios. The theoretical groundwork of conjoint analysis reaches back to the 1920s, but the foundation for the applied conjoint measurement approach was laid in the 1960s by the mathematical psychologist Luce and the statistician Tukey (Luce & Tukey, 1964). The methodwas—and still is—predominantly used inmarketing research for designing and positioning new products, estimating product demand or pricing decisions (Green & Srinivasan, 1978; Kohli & Sukumar, 1990). Today, conjoint studies are established in various other scientific disciplines such as health care (Ryan&Farrar, 2000), transportation (Bunch, Bradley, Golob, Kitamura, & Occhiuzzo, 1993), or environmental studies (Álvarez-Farizo & Hanley, 2002). In contrast, in communication science the conjoint measurement approach is rarely used so far, although it could provide valuable contributions to communication science research issues. Hence, the aim of this entry is an introduction to conjoint analysis and an overview of its application in the field of communication science.
Past and present human impacts on the biodiversity of Socotra Island (Yemen): implications for future conservation

Abstract The Socotra Archipelago (Yemen) is globally recognized for its outstanding biodiversity and endemism, designated on this basis a UNESCO World Heritage Site in 2008. The island underwent long geological and political isolation, ensuring preservation of unique ecosystems until the start of the new millennium. Now, Socotra Island is undergoing rapid development, out of balance with conservation. Major causes for biodiversity loss in other global insular ecosystems such as habitat fragmentation and degradation, pollution, invasive species and the impact of tourism, are becoming pressing issues that deserve close attention. Unsustainable resource use, the loss of traditional land management and illegal trade in biota are worrying phenomena that further increase the pressures on Socotra’s ecosystems. We provide the first comprehensive review of potential human impacts on Socotra before the 21st century, an updated discussion of some of the principal threats to its biodiversity in recent times, discussing local examples within a historical context of known extinction processes on islands, and underline the importance of traditional knowledge in the protection of Socotran ecosystems.
Cooperative Human-Machine Interaction in Industrial Environments

Recently, the concept of Human-centered automation is adopted in Human-Robot Collaboration (HRC) scenarios, where interactive manufacturing systems are designed to emphasize human activities, by relating them with Cyber-Physical Production Systems (CPPS). This research is focused on self-adaptation of industrial manipulators to the operator's physiological characteristics, which involve the correlation of different biometric signals. A collaborative environment was achieved by implementing a CPPS for this intent. The developed use case scenario consists in a simple manufacturing process, which involves a human operator and a mini robotic arm, in a joint manipulation of objects. The robotic arm assists the human operator regarding task execution, considering the worker's real-time monitoring, regarding stress and fatigue levels and motion tracking. The monitoring of the human operator serves as input for the self-adaptation of the robotic arm, namely task execution's speed, and correct operation. Presented results show that the implemented Fuzzy system can classify stress and fatigue with an accuracy of 87.8% and 74.4% respectively.
A fault‐zone conductor beneath a compressional inversion zone, northeastern Honshu, Japan

A resistivity section based on magnetotelluric data was obtained for the Shonai Plain fault in northeastern Honshu, Japan. Faults in this area were created as normal faults during the opening of the Japan Sea in the Miocene but are now reactivated as high‐angle reverse faults under compressional tectonics. Geological interpretations of the resistivity section support the proposed fault reactivation. An estimated east‐dipping conductor along a deep part of the Shonai Plain fault system probably represents a fluid‐rich zone around the fault zone. The high 3He/4He ratio near the fault indicates transportation of mantle fluid through this fluid‐rich zone. These evidences may reflect the development of pronounced fracture permeability after fault rupturing, as in the fault‐valve hypothesis.
The effect of plyometric training program on young volleyball players in their usual training period

The purpose of this study was to find out the efficiency of composed plyometric training program on youth volleyball players force capabilities in their usual training period. The plyometric training program was applied during 16 week period where was attended twenty-one 12-19 years old youth volleyball players. Twelve of them were female and nine male volleyball players. There were three control testings. All subjects participated in following tests: standing long jump, depth leap long jump, medicine ball throws up in 10 seconds, medicine ball overhead throws forward against the wall in 10 seconds, maximal vertical jumps to the maximal height in 10 seconds, maximal vertical jump height. Testing results statistical analysis has shown athletes legs and arms speed force reliable improvement. Standing long jump, depth leap long jump and maximal vertical jump height test results, what has shown legs explosive power, has not shown remarkable reliable difference (P>0.05). Medicine ball throws and maximal vertical jumps to the maximal height in 10 seconds, what show speed force improvement, showed reliable difference (P<0.01).
Asymmetrical Hybrid Multilevel Inverter With SHE Modulated NPC Cascaded By MPC Controlled CHB with Si/SiC Switches

Main issues with the implementation of multilevel converters in high-power applications are high power quality and minimum switching frequency. A combination of NPC and CHB with new schemes is proposed to find the middle ground in medium voltage applications. NPC is modulated with SHE to provide active power and eliminate selected harmonics. On the other hand, CHB with floating capacitor is utilized as reactive power compensator. Floating capacitor eliminates the need for real DC source, hence, the volume of the auxiliary circuit can be smaller and less costly. MPC is deployed for CHB, which can compensate the higher order harmonics left by the main stage, stabilize the capacitor voltage and provide better dynamic response simultaneously. Experimental results validate the effectiveness of the proposed topology.