Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying partners at sea from joint movement metrics of pelagic pair trawlers

Here, we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in several fleets: pelagic pair trawlers, large and small bottom otter trawlers, mid-water otter trawlers, all in the North-East Atlantic Ocean, anchovy purse-seiners in the South-East Pacific Ocean, and tuna purse-seiners in the western Indian Ocean. This type of behaviour is known to exist within pair trawlers, since these vessels are in pairs at least during their fishing operations. To identify partners at sea, we used a heuristic approach based on joint-movement metrics computed from vessel monitoring system data and Gaussian mixture models. The models were fitted to joint-movement metrics of the pelagic pair trawlers, and subsequently used to identify partners at sea in other fleets. We found partners at sea in all of the fleets except for the tuna purse-seiners. We then analysed the connections between vessels and identified exclusive partners. Exclusiveness was more common in pelagic pair trawlers and small bottom otter trawlers, with 82% and 74% of the vessels involved in partnerships having exclusive partners. This work shows that there are collective tactics at least at a pairwise level in diverse fisheries in the world.
Relativistic Euler equations in cosmologies with nonlinear structures

We consider a new variant of cosmological perturbation theory that has been designed specifically to include non-linear density contrasts on scales 100 Mpc, while still allowing for linear fluctuations on larger scales. This theory is used to derive the relativistic equations of Eulerian hydrodynamics in realistic cosmological scenarios that contain radiation and a cosmological constant, as well as matter that has been allowed to clump into galaxies and clusters of galaxies. These equations can be used to evolve energy densities and velocities in the presences of small-scale non-linear structures, and on scales all the way up to the horizon and beyond. The leading-order part of these equations reproduces the expected Newtonian equations, while subsequent orders prescribe relativistic corrections. We demonstrate that these evolution equations are consistent with maintaining the Einstein constraints, and hence that the system as a whole is mathematically well posed. The relativistic corrections that we derive are found to exhibit non-trivial interactions between perturbations on different scales, as well as the mixing of scalar, vector and tensor modes. They deviate from those that occur in both post-Friedmann and standard cosmological perturbation theory approaches, and point towards new relativistic effects that could be measurable by upcoming ultra-large-scale surveys.
The B-V and V-R Color Indices on the Surface of NEA (214088) 2004 JN13

This paper presents the results of photometric observations with standard broad-band Bessel filters B, V, and R on near-Earth asteroid (214088) 2004 JN13. The analysis shows that the B-V and V-R color indices are fairly constant on the asteroid surface with mean values $B-V = 0.83 \pm 0.02$ mag and $V-R = 0.48 \pm 0.03$ mag, indicative of a relatively homogeneous surface color distribution. For a typical albedo, assuming these colors indicate an S-type asteroid, a mean diameter of $2.4 \pm 0.5$ km is inferred.
The effect of clinical hierarchical nursing intervention on patients with acute non-variceal upper gastrointestinal bleeding

Introduction: Acute non-variceal upper gastrointestinal bleeding has high risk of rebleeding, severely affecting patients’ life. While this risk of rebleeding can be effectively reduced via targeted clinical hierarchical nursing intervention. Object: To investigate the effect of clinical hierarchical nursing intervention on patients with acute non-variceal upper gastrointestinal bleeding (ANVUGIB). Design: Randomized controlled study. Methods: A total of 150 ANVUGIB patients treated in the Department of Gastroenterology in our hospital from January 2017 to October 2020 were selected and equally divided into two groups according to random number table method. The control group received routine care for ANVUGIB, including routine health education, health monitoring, medication care, etc. The nursing staff in the intervention group were divided into four different levels: senior, intermediate, junior and assistant nursing staff, and they were assigned with different responsibilities and nursing contents. The baseline conditions of the two groups of patients were compared, and the evaluation indexes include: incidence of bleeding-related complications during hospitalization, rebleeding situation within 1 month after discharge, quality of life, medical compliance, mastery rate of disease knowledge, comfort level, and nursing satisfaction. Results: There was no significant difference in the basic condition between the two groups (p > 0.05), showing comparability. The incidence of complications and rebleeding during hospitalization in the observation group were both 4.00%, which were significantly lower than those in the control group (χ2 = 6.996, 4.127, p < 0.05). After nursing intervention during hospitalization, the scores of physiological function, physiological functioning, body pain, general health, vitality, social function, mental health and emotional function of ANVUGIB patients in the observation group were significantly higher than those in the control group at discharge (p < 0.05). In addition, the mastery rate of disease knowledge, comfort level and nursing satisfaction of ANVUGIB patients in the observation group were significantly higher than those in the control group (p < 0.05). Although the compliance rate in the observation group was higher than that in the control group, no significant difference was found (p > 0.05). Conclusion: Clinical nursing intervention can significantly reduce the incidence of complications and rebleeding in patients with acute non-variceal upper gastrointestinal bleeding, and improve their quality of life, comfort level and nursing satisfaction.
Implementation of a Daemon for OpenBCI

This document describes a technical study of the electroencephalographic (EEG) headset OpenBCI (New York, US). In comparison to research grade EEG, the OpenBCI headset is affordable thus suitable for the general public use. In this study we designed a daemon, that is, a background and continuous task communicating with the headset, acquiring, filtering and analyzing the EEG data. This study was promoted by the IHMTEK Company (Vienne, France) in 2016 within a thesis on the integration of EEG-based brain-computer interfaces in virtual reality for the general public.
From Patch to Image Segmentation using Fully Convolutional Networks - Application to Retinal Images

In general, deep learning based models require a tremendous amount of samples for appropriate training, which is difficult to satisfy in the medical field. This issue can usually be avoided with a proper initialization of the weights. On the task of medical image segmentation in general, two techniques are usually employed to tackle the training of a deep network $f_T$. The first one consists in reusing some weights of a network $f_S$ pre-trained on a large scale database ($e.g.$ ImageNet). This procedure, also known as \textit{transfer learning}, happens to reduce the flexibility when it comes to new network design since $f_T$ is constrained to match some parts of $f_S$. The second commonly used technique consists in working on image patches to benefit from the large number of available patches. This paper brings together these two techniques and propose to train arbitrarily designed networks, with a focus on relatively small databases, in two stages: patch pre-training and full sized image fine-tuning. An experimental work have been carried out on the tasks of retinal blood vessel segmentation and the optic disc one, using four publicly available databases. Furthermore, three types of network are considered, going from a very light weighted network to a densely connected one. The final results show the efficiency of the proposed framework along with state of the art results on all the databases.
On Multiple Objective of Software Rejuvenation Models with Several Policies

Background and Objectives: Applications and systems software that are running constantly become obsolete due to the accumulation of error conditions or the depletion of resources like physical memory or performance degradation. In this regard, software rejuvenation has been proposed to deal with such a phenomenon and prevent software failure in the future. This paper proposes a multiple objective of software rejuvenation models with several policies. The purpose is to identify the right rejuvenation policy in practical situations. Methods: We model software system with four policies using the Markov process. These policies are: (a) Software system without rejuvenation; (b) Software system with partial rejuvenation; (c) Software system with partial and full rejuvenation; and (d) Software system with four different types of rejuvenation. In the models and each policy, we consider assigning the level of performance on which the availability and operating costs are calculated. Results: To evaluate the models with the four policies, many numerical experiments were performed. For each policy, we evaluated and compared three objectives, namely performance, availability and operating costs. The experimental results states that for Software System with the policy of four different type of rejuvenation has about 18 and 16 percent improvement in performance and availability, respectively, compared with those other policies. Moreover, the operating cost of the software system with partial rejuvenation policy is lower and more efficient than other policies. Conclusion: According to the calculated objectives and the results of the policies, it can be concluded that in systems with lower operational costs, the most appropriate policy is the software system with four different types of rejuvenation because this policy bring the maximum possible value for the performance and availability. ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. ======================================================================================================
Comparison Between the Effectiveness of Mental Practice and Physical Practice using Cup Stacking on Hand Function in the Elderly

Objective: The objective of this study was to investigate the effect of mental vs. physical cup stacking practice in healthy people aged over 65 years. Material and Methods: Healthy elderly, who met the inclusion criteria, were randomized into 2 groups—physical practice and mental practice. Both groups received cup stacking training according to the specific condition of the group. This study collected data on the immediate effects of the training using the Jebsen Hand Function Test (JHFT) for both hands, the dominant and the non-dominant ones. The movement time during cup stacking and reaction time were measured. The paired t-test and the independent t-test were selected to analyze the differences within and between groups, respectively. Results: There were 39 participants in each group. It was found that the movement time related to stacking cups and the JHFT movement time of the non-dominant hand was significantly lower in the physical practice group compared with the mental practice group. Besides, after training, the movement time for stacking cups and the JHFT movement time of both hands was significantly lower in both groups. However, a statistically nonsignificant result for reaction time was found in the mental practice group after training. Conclusion: This study shows that both mental and physical training can enhance the ability to learn hand movement in the elderly. In further studies, the inclusion of the retention of training effects after practice, a different training approach, and a feedback method should be considered.
Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking

Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge for sensor calibration, it is also the main prospect for reliability and robustness of autonomous systems. In this paper, we propose a method for multisensor calibration based on Gaussian processes (GPs) estimated moving object trajectories, resulting with temporal and extrinsic parameters. The appealing properties of the proposed temporal calibration method are: coordinate frame invariance, thus avoiding prior extrinsic calibration, theoretically grounded batch state estimation and interpolation using GPs, computational efficiency with O(n) complexity, leveraging data already available in autonomous robot platforms, and the end result enabling 3D point-to-point extrinsic multisensor calibration. The proposed method is validated both in simulations and real-world experiments. For real-world experiment we evaluated the method on two multisensor systems: an externally triggered stereo camera, thus having temporal ground truth readily available, and a heterogeneous combination of a camera and motion capture system. The results show that the estimated time delays are accurate up to a fraction of the fastest sensor sampling time.
KL property of exponent $1/2$ of quadratic functions under nonnegative zero-norm constraints and applications

This paper focuses on the quadratic optimization over two classes of nonnegative zero-norm constraints: nonnegative zero-norm sphere constraint and zero-norm simplex constraint, which have important applications in nonnegative sparse eigenvalue problems and sparse portfolio problems, respectively. We establish the KL property of exponent 1/2 for the extended-valued objective function of these nonconvex and nonsmooth optimization problems, and use this crucial property to develop a globally and linearly convergent projection gradient descent (PGD) method. Numerical results are included for nonegative sparse principal component analysis and sparse portfolio problems with synthetic and real data to confirm the theoretical results.
Particle-number scaling of the quantum work statistics and Loschmidt echo in Fermi gases with time-dependent traps

We investigate the particle-number dependence of some features of the out-of-equilibrium dynamics of $d$-dimensional Fermi gases in the dilute regime. We consider protocols entailing the variation of the external potential which confines the particles within a limited spatial region, in particular, sudden changes of the trap size. To characterize the dynamic behavior of the Fermi gas, we consider various global quantities such as the ground-state fidelity for different trap sizes, the quantum work statistics associated with the protocol considered, and the Loschmidt echo measuring the overlap of the out-of-equilibrium quantum states with the initial ground state. Their asymptotic particle-number dependencies show power laws for noninteracting Fermi gases. We also discuss the effects of short-ranged interactions to the power laws of the average work and its square fluctuations, within the $d$-dimensional Hubbard model and its continuum limit, arguing that they do not generally change the particle-number power laws of the free Fermi gases.
Treatment of climate change in extinction risk assessments and recovery plans for threatened species

The ongoing threat of climate change poses an increasing risk to biodiversity, especially for currently threatened species. Climate change can both directly impact species and interact with other pre‐existing threats, such as habitat loss, to further amplify species' risk of extinction. Recognizing the threat of climate change in extinction risk assessments and recovery planning for imperilled species is essential for tailoring and prioritizing recovery actions for climate‐threatened species. Using species legally listed in Canada we show that 44.1% of species' risk assessments identify the threat of climate change, nonetheless, 43.5% of assessments completely omit climate change. Species assessed more recently were more likely to be identified as climate‐threatened, however, the strength of this relationship varied across taxonomic groups. The likelihood that climate change was identified as a threat was also strongly affected by the use of a standardized threat assessment process. Of the climate‐threatened species, less than half (46.0%) of species' recovery plans specified actions aimed explicitly at minimizing climate impacts and only 3.8% of recovery plans recommended habitat or population management actions. Climate‐targeted recovery actions were more likely to be included in more recent plans, and were marginally more likely for species where climate change was considered a major threat. Our findings highlight the urgent need for consistent and standardized assessments of the threat of climate change, including the consideration of potential synergies between climate change and other existing threats. Performing species‐specific climate change vulnerability assessments may serve to complement existing assessment and recovery planning processes. We provide additional recommendations aimed at threatened species recovery planners for improving the integration of the threat of climate change into species extinction risk assessments and recovery planning processes for listed species.
Team Autonomy in Large-Scale Agile

Large-scale software development is increasingly making use of agile practices. In large-scale projects, a team needs to align with other teams and the rest of the organization. This has been shown to threaten team autonomy, which, in turn, reduces responsiveness and flexibility. Hence, agile teams face challenges in adapting to larger-scale development. We conduct a multiple case study of three large-scale projects to investigate barriers to team autonomy in large-scale agile. Two barriers are identified: overall direction and external dependencies. We found that goals are often set by management without involving the teams, that they are often equal to deliverables and deadlines, and that team members often do not know what the goals are. Consequently, teams struggle with setting and communicating goals as well as establishing a shared direction. Organizational dependencies lead to teams having to deal with additional tasks, resulting in specific members shielding the teams from external noise.
The restricted Inomata-McKinley spinor-plane, homotopic deformations and the Lounesto classification

We define a two-dimensional space called the spinor-plane, where all spinors that can be decomposed in terms of Restricted Inomata-McKinley (RIM) spinors reside, and describe some of its properties. Some interesting results concerning the construction of RIM-decomposable spinors emerge when we look at them by means of their spinor-plane representations. We show that, in particular, this space accomodates a bijective linear map between mass-dimension-one and Dirac spinor fields. As a highlight result, the spinor-plane enables us to construct homotopic equivalence relations, revealing an algebraic-topological link between these spinors. In the end, we develop a simple method that provides the categorization of RIM-decomposable spinors in the Lounesto classification, working by means of spinor-plane coordinates, which avoids the often hard work of analising the bilinear covariant structures one by one.
Reconsidering the Role of Research Method Guidelines for Qualitative, Mixed-methods, and Design Science Research

Guidelines for different qualitative research genres have been proposed in information systems (IS). As these guidelines are outlined for conducting and evaluating good research, studies may be denied publication simply because they do not follow a prescribed methodology. This can result in “checkbox” compliance, where the guidelines become more important than the study. We argue that guidelines can only be used to evaluate what good research is if there is evidence that they lead to certain good research outcomes. Currently, the guidelines do not present such evidence. Instead, when it is presented, the evidence is often an authority argument or evidence of popularity with usability examples. We further postulate that such evidence linking guidelines and outcomes cannot be presented. Therefore, it may be time for the IS research community to acknowledge that many research method principles we regard as authoritative may ultimately be based on speculation and opinion, and thus, they should be taken less seriously as absolute guidelines in the review process.
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination

Since the seminal paper by Marzetta from 2010, Massive MIMO has changed from being a theoretical concept with an infinite number of antennas to a practical technology. The key concepts are adopted into the 5G New Radio Standard and base stations (BSs) with $M=64$ fully digital transceivers have been commercially deployed in sub-6GHz bands. The fast progress was enabled by many solid research contributions of which the vast majority assume spatially uncorrelated channels and signal processing schemes developed for single-cell operation. These assumptions make the performance analysis and optimization of Massive MIMO tractable but have three major caveats: 1) practical channels are spatially correlated; 2) large performance gains can be obtained by multicell processing, without BS cooperation; 3) the interference caused by pilot contamination creates a finite capacity limit, as $M\to \infty $ . There is a thin line of papers that avoided these caveats, but the results are easily missed. Hence, this tutorial article explains the importance of considering spatial channel correlation and using signal processing schemes designed for multicell networks. We present recent results on the fundamental limits of Massive MIMO, which are not determined by pilot contamination but the ability to acquire channel statistics. These results will guide the journey towards the next level of Massive MIMO, which we call “Massive MIMO 2.0”.
Effective Context and Fragment Feature Usage for Named Entity Recognition

In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improvement of overall recognition performance. We use the recent fixed-size ordinally forgetting encoding (FOFE) method to fully encode each sentence fragment and its left-right contexts into a fixed-size representation. Next, we organize the context and fragment features into groups, and feed each feature group to dedicated fully-connected layers. Finally, we merge each group's final dedicated layers and add a shared layer leading to a single output. The outcome of our experiments show that, given only tokenized text and trained word embeddings, our system outperforms our baseline models, and is competitive to the state-of-the-arts of various well-known NER tasks.
Fractional Differential Couples by Sharp Inequalities and Duality Equations

This paper presents a highly non-trivial two-fold study of the fractional differential couples - derivatives ($\nabla^{0 n$) inequalities for $\nabla^{0<s<1}_\pm$; the other is to handle the distributional solutions $u$ of the duality equations $[\nabla^{0<s<1}_\pm]^\ast u=\mu$ (a nonnegative Radon measure) and $[\nabla^{0<s<1}_\pm]^\ast u=f$ (a Morrey function).