Miracle-dz/UniFAR-FTUs huggingface dataset:
Skrattmåsens Larus ridibundus populationsutveckling i Sverige under de senaste 25 åren

Although starting its northward spread in Sweden earlier, the Black-headed Gull Larus ridibundus showed an almost explosive increase after the Second World War. However, during the last two decades the population has decreased strongly, especially in the agricultural districts of South and South Central Sweden, i.e. those areas which held the majority of the Swedish population. In this paper, data have been compiled by province from various sources (mainly papers and bird reports in local ornithological journals) in an attempt at estimating the size of this decrease and at finding any geographical pattern that might shed light on its cause, or causes. In the main agricultural areas, the decrease of the Black-headed Gull population has been in the order of 70% to 80%, on the island of Öland in the Baltic even more than 95%. Several reports indicate that the decrease started in the species' core areas in the mid-1970s when most of the large colonies diminished or disappeared, but somewhat later in less extreme agricultural areas. The reason for this recent decline is not known. Both deterioration of breeding habitat and predation by mink Mustela vison may explain a certain re-distribution of colonies from eutrophic lakes to offshore islands (and cities and industrial waste land); heavy predation by mink on gull chicks and subsequent abandonment of colonies have been reported. However, parents have abandoned chicks at colonies without documented mink predation, and chick starvation and poor fledging success have also been recorded, however most often in dry years.
Analysis of sniper localization for mobile asynchronous sensors

In this work we analyze the performance of several approaches to sniper localization in a network of mobile sensors. Mobility increases the complexity of calibration (i.e., self localization, orientation, and time synchronization) in a network of sensors. The sniper localization approaches studied here rely on time-difference of arrival (TDOA) measurements of the muzzle blast and shock wave from multiple, distributed single-sensor nodes. Although these approaches eliminate the need for self-orienting, node position calibration and time synchronization are still persistent problems. We analyze the influence of geometry and the sensitivity to time synchronization and node location uncertainties. We provide a Cramer-Rao bound (CRB) for location and bullet trajectory estimator errors for each respective approach. When the TDOA is taken as the difference between the muzzle blast and shock wave arrival times, the resulting localization performance is independent of time synchronization and is less affected by geometry compared to other approaches.
Likelihood ratio tests for a changepoint with survival data

SUMMARY We consider the likelihood ratio test for a changepoint or lag of the effect of some covariates, e.g. treatment, in regression modelling of survival data subject to right censoring. Asymptotic distributions under null hypotheses are derived. Numerical examples are used to illustrate the implementation of the procedure. Finally we apply the theory to data from a large randomised cancer prevention trial.
Estimation and use of the inverse hyperbolic sine transformation to model non-normal correlated random variables

During the past . 20 years, there has been growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, researchers have recognized the possibility and implications of the non-normality of yields and prices. This study demonstrates a method for estimating multivariate non-normality in crop yields and prices over time, using the inverse hyperbolic sine transformation of corn, soya bean and wheat yields. The resulting estimates are used to simulate a multivariate distribution of crop yields.
Fault detection model‐based controller for process systems

This paper develops a model‐based control system for fault detection and controller reconfiguration using stochastic model predictive control (MPC). The system can determine online the optimal control actions, detect faults quickly, and reconfigure the controller accordingly. Such a system can perform its function correctly in the presence of internal faults. A fault detection model based (FDMB) controller consists of two main parts: the first is fault detection and diagnosis (FDD) and the second is controller reconfiguration (CR). Systems subject to such abrupt failures are modeled as stochastic hybrid systems with variable‐structure. This paper deals with three challenging issues: design of the fault‐model set; estimation of hybrid multiple models; and stochastic MPC of hybrid multiple models. For the first issue, we propose a simple scheme for designing a fault model set based on random variables. For the second issue, we consider and select a fast and reliable FDD system applied to the above model set. Finally, we develop a stochastic MPC scheme for multiple model CR with soft switching signals based on the weighted probabilities of the outputs of different models. Simulations for the proposed FDMB controller are illustrated and analyzed.
Radio quasi-period oscillation analysis of blazar CGRaBS J0835+6835

: Based on the Owens Valley Radio Observatory (OVRO) 40m telescope observation database, we collected data from the blazar CGRaBS J0835+6835 in the 15 GHz radio band (approximately 12 years). Using the Lomb-Scargle periodogram (LSP) method and the Weight Wavelet Z-transform (WWZ) method, we detected a quasi-period oscillation of about 560 days in the CGRaBS J0835+6835 object. We used a spiral jet model in the supermassive dual black hole system to estimate the mass range of its primary black hole M range is 3.7×10 8 M ⊙ to 3.5×10 9 M ⊙ . To investigate whether there is a beam effect in this source, we used a double exponential function to fit six burst processes and found that the average value of the variability Doppler factor δ Ｖ is about 10.76. This result indicates there is a significant beam effect in the radio radiation of this source.
Finite Sample Effects in Group-Based Trajectory Models

Two desirable properties of maximum likelihood-based parameter estimates are that the estimates are asymptotically unbiased and asymptotically normally distributed. In this article, the authors test whether the asymptotic properties of maximum likelihood estimation are achieved in sample sizes typically used in applications of group-based trajectory modeling. Through empirical results generated by resampling of population data, they find that the maximum likelihood estimates obtained in group-based trajectory models still provide reasonably close estimates of their true population values and have approximately normal distributions, even when estimated with a sample size as small as n = 500. Furthermore, and more important for the users of these types of models, the authors find similarly good performance in the model’s ability to estimate the transformed quantities of main interest: the group trajectories and mixing probabilities.
The X(3872) an other possible XYZ molecular states

We perform a coupled channel calculation of the DD* and cc sectors in the framework of a constituent quark model. The interaction for the DD* states is obtained using the Resonant Group Method (RGM) and the underlying quark interaction model. The coupling with the two quark system is performed using the 3P0 model. The X(3872) is found as a molecular state with a sizable cc component. A comparison with Belle and BaBar data has been done, finding a good agreement. Other possible molecular molecular states are discussed.
Drop/Gas Interactions in Dense Sprays

Abstract : Two processes of dense sprays are being studied: (1) turbulence modulation, which involves the turbulent field generated by drop motion; and (2) secondary drop breakup which can be the rate controlling process in dense sprays. Since past work on turbulence modulation highlighted the need for information on drop wake properties for low drop Reynolds numbers (10-1000), measurements of these flows are in progress using spheres traversing in stagnant glycerol baths. Three wake regions have been identified: a fast-decaying wake (caused by eddy shedding at drop Reynolds numbers greater than 200), a turbulent wake (extending to wake Reynolds numbers of 5-8), and a final laminar wake. Turbulence is not highly developed in the turbulent wakes, yet mean velocities satisfy similarity theory quite well. Current work is concentrating on results at higher Reynolds numbers, to approach results in the literature; studying wakes in turbulent environments; and introducing these results into a stochastic theory of turbulence modulation. Secondary drop breakup is being studied in a shock tube using water, glycerol and n-heptane drops. A breakup regime map has been developed, defining no-deformation, oscillatory deformation, non- oscillatory deformation, bag breakup, multimode breakup and shear breakup regimes as a function of Weber and Ohnesorge numbers. Results at Ohnesorge numbers greater than 4 show that these conditions are dominated by the no- deformation regime. Current work involves measurements of the dynamics and outcomes of bag and multimode breakup.
A 24.25–30 GHz radio frequency up‐down converter with harmonic distortions rejection for 5G millimeter wave radio channel emulator applications

In this paper, a 24.25–30 GHz fully integrated radio frequency (RF) up‐down converter with harmonic distortions rejection for 5G millimeter wave radio channel emulator applications is proposed and implemented in a 0.1‐μm GaAs pseudomorphic high‐electron‐mobility transistor technology. The RF up‐down converter integrates a frequency doubling amplifier chain local oscillator, a harmonic suppression mixer, and three frequency selective filters for unwanted harmonics suppression. To prevent the unwanted harmonics from leaking into the RF band, a higher sideband and high‐intermediate frequency mixer core with harmonic suppression filters is proposed. With this method, the unwanted harmonics are well suppressed. To effectively reduce the chip area, a miniaturized Marchand Balun based on a folded structure is proposed. The measured results demonstrate good in‐band spectral purity with more than 70 dB suppression of unwanted harmonics. Benefit from the high‐side injection mixing scheme and harmonics suppression method, the presented up‐down converter achieves a dynamic power range of −100 to −5 dBm with a conversion loss of 10 dB. The implemented RF up‐down converter occupies only 0.9 × 2.7 mm2 in size, with a power consumption of 400 mW under 4‐V supply.
CAPACITY MANAGEMENT BUILDING DALAM MEMFASILITASI PENINGKATAN MUTU PERGURUAN TINGGI SWASTA LEMBAGA LAYANAN PENDIDIKAN TINGGI WILYAH IX

The purpose of this study is to describe and analyze the capacity of Higher Education Service Institutions Region IX in facilitating the improvement of the quality of Private Higher Education and to describe and analyze the quality of Private Higher Education Service Institutions Region IX. As well as to formulate an effective capacity building strategy in facilitating the improvement of the quality of Private Higher Education Institutions Higher education service institutions Region IX. His type of research is qualitative with an exploratory case study approach as one of the research strategies that studies or examines a setting, object or event at a certain time thoroughly and in depth. Data collection was carried out through interviews, documentation, media review, and observation techniques. The informants consisted of two main informants who were selected purposively and ordinary informants who were selected by snowball sampling. The data analysis technique used refers to an interactive model which includes the stages of data collection, data condensation, data presentation and verification/conclusion. The results of the research show that the capacity of Region IX Higher Education Service Institutions in general is not maximized. This is because the inherent institutional authority is still very limited, besides that the duties of LLDIKTI are only limited to facilitators not executors in an effort to improve the quality of Private Higher Education, also in terms of competence human resources are still quite adequate from the aspect of formality but not directly proportional in substance. Because of that, it is necessary to map employees in their placement. In general, the quality of private tertiary institutions for higher education service institutions in Region IX is adequate. This is because the cadre system has been built in accordance with regulations, besides that the recruitment system for lecturers and education staff has been carried out properly. Likewise, the institutional aspect is still in normal condition and under control. However, it is weak in terms of funding and facilities. In order to increase the capacity of Higher Education Service Institutions in facilitating the improvement of the quality of Private Higher Education, a strong institutional system is needed through four main aspects, namely Organizations that have strong authority, competent Human Resources, a stable Work System and networking as aspects of networking in encouraging stakeholder participation
Big data processing with 1D-Crosspoint Arrays

Increased chip densities offer massive computation power to deal with fundamental big data operations such as searching and sorting. At the same time, the proliferation of processing elements (PEs) in such multicore chips together with the employment of more aggressive parallel algorithms cause the amount of space needed for interprocessor communications to dominate the overall chip space, potentially resulting in reduced computational efficiency. To overcome this issue, this paper introduces a new architecture that uses simple crosspoint switches to pair PEs instead of a complex interconnection network. This new architecture may be viewed as a ‘quadratic’ array of processors as it uses PEs rather than PEs as in linear array processor models. The switches between adjacent PEs are created using a cyclic permutation wiring idea with PEs and as many crosspoints. We demonstrate the versatility of this new parallel architecture by designing fast algorithms to sort and search a list of n elements with it. In particular, we show that finding a minimum, maximum, and searching a list of n elements can all be performed on this parallel architecture in time with additional elementary logic gates with fan-in and in time with fan-in. We further show that sorting a list of n elements can also be carried out in time using additional elementary logic gates with fan-in and threshold logic gates on the same parallel architecture. The sorting time increases to if only elementary logic gates with fan-in are used. In addition, we establish how similar queries can be handled within the same order of time complexities. We use this new parallel architecture to perform sorting and searching on big data on three different models. The first of these models provides an efficient implementation of enumeration sorting and searching for moderate size big data sets. The second model offers increased parallelism by replication of the new parallel architecture but its hardware complexity limits its use to moderate size big data sets as well. The third model removes this limitation by introducing a tradeoff parameter between the time and hardware complexity of the overall computation, thereby providing an optimal use of available resources within a given chip-set space.
The didactic function of narratives: Teacher discussions on the use of challenging, engaging, unifying, and complementing narratives in the history classroom

At a time when society is characterised by a polarised social climate, it is teachers who need to contribute to a nuanced orientation of the world. This article looks at the ways historical narratives can be used as a collective didactic resource in the historical-cultural context of contemporary society. Its purpose is to analyse the didactic function that underlies historical narratives in relation to students’ understanding of society. Our study builds on three focus group interviews with five upper-secondary-school teachers of history and social studies. The method used is the stimulated-recall interview whereby teachers talk about various teaching situations. Four uses of historical narratives were identified, each with its own didactic function. The first is the use of the “challenging” narrative, the function of which is to disrupt and realign students’ understanding of society. The second is the use of the “engaging” narrative: its function is to involve and activate students in their present understanding of society. The third is the use of the “unifying” narrative, the function of which is to bridge contradictions within society. The fourth and final narrative is the “complementing” narrative, whose function it is to broaden and open students’ understanding of society. To address students in terms of their present understanding of society, teachers employ these four narratives as didactic resources. In such a way, these uses of historical narratives tie in with the teachers’ overall aim to contribute an alternative perspective to students’ current understanding of society. As such, the results reveal the general theoretical knowledge teachers have relating to their profession.
Mental wellbeing; Human reliability assessment of seafarers during the COVID-19 era

ABSTRACT The COVID-19 pandemic took the world by storm and disrupted global trade and maritime activities. Seafarers suffered immensely as most of their activities were affected due to the lockdown and travel restrictions placed by most governments to protect their borders. This had an impact on mostly their mental health as most of their routine became disrupted, travel plans were cancelled, and some fear of losing their jobs due to uncertainty. This research focuses on the impact the lockdown had on the mental health of seafarers and how it affects their human error probability value during COVID-19 by utilizing the HEART methodology. The conventional HEART technique is not precisely developed to be applied in the marine and offshore sector, so it was imperative to modify it to capture the key factors this research would be measuring which include fatigue, poor communication, depression, sleep deprivation, and how they influence the Human Error Probability (HEP) value of seafarers. To properly factor in these influencing factors, a questionnaire was developed and distributed to expert seafarers to weigh each factor in other to develop the Error Influencing Factor (EIF) table to further boost the accuracy of this research. For this research, the scenario used is a pre-mooring task carried out by seafarers. The result shows that the HEP value changes by over 55% from 6.1676E–2 before covid-19, to 6.1960E–1 during covid-19. Event Tree analysis was also carried out using the individual HEP values to calculate the probability of failure of the mooring ropes. The result shows that the probability of failure during COVID-19 is higher when compared. The application of this modified HEART technique confirms that COVID-19 lockdown had a negative impact on these factors that influence the mental well-being of seafarers.
LMI-based H2/H∞ terminal proximity guidance algorithm for autonomous rendezvous and docking

In the terminal proximity stage of autonomous rendezvous and docking, H2 and H∞ and guidance algorithms are adopted to overcome the influence on relative guidance accuracy of the following terms, the uncertainty of the system model, the noise of the relative information measurements and thrust misalignment. First of all, a widely used glide slope scheme is introduced to plan the ideal terminal proximity trajectory. Using this assumption the ideal relative position and velocity can be determined beforehand. And then, the tracking error equations for V-bar approach are derived. So the guidance problem is transformed to synthesize a controller to eliminate the tracking error to zero. Modern control methods are applied to design the H2 / H∞ controller. The LMI (linear matrix inequalities) technology is adopted here to get the final solution for controllers. Simulation based on the solution obtained though MATLABRLMI toolbox is performed on a scenario of the rendezvous and docking final proximity stage. The simulation results verify the validity and superiority of the H∞ design method for the terminal proximity of autonomous rendezvous and docking.
On the covering radius of Simplex codes

Abstract Lower and upper bounds for R(Sk (q)), the covering radius of a k-dimensional q-ary Simplex codes are determined. These help in getting bounds with a gap of one for S 3(q). Exact covering radius of S 2(q), S 3 (3), S 4(3), S 4 (4) and S 3(q) for q even are obtained.
Proposal of a Software Tool for Manual Assembly Outputs Simulation

Manual assembly operations are often the bottlenecks of production processes. Usually, in order to find out, what the throughput of these manual assembly operations will be, it is first necessary analysing them in the context of the workstation and the whole processes as well. For these analyses, one of the most useful tools is the use of simulation. Despite existing several complete software for these purposes, they often demand significant time and effort to create good simulations. Sometimes, however, it is just enough to simulate a few key aspects of the assembly process to get key results, which are often the base for immediate and/or further process improvement. In these cases, creating a special analytical tool that allows efficiently obtaining a sufficiently good solution to the given problem becomes a viable and convenient option. This paper presents an assembly simulation and analysis tool designed and created in Microsoft Excel by the authors. The tool is useful for quick analyses of assembly tasks without the need of having to engage in creating complex 3D models and extra analyses. The proposal is implemented into a practical case study, which allows verifying its validity.
Weak concentration and wave operator for a 3D coupled nonlinear Schrödinger system

Reported in this paper are results concerning the Cauchy problem and the dynamics for a cubic nonlinear Schrodinger system arising in nonlinear optics. A sharp criterion is given concerned with the dichotomy global existence versus finite time blow-up. When a radial solution blows up in finite time, we prove the concentration in the critical Lebesgue space. Sufficient condition for the scattering and the construction of the wave operator in the energy space is also provided.
Study of environmental sound source identification based on hidden Markov model for robust speech recognition

Humans communicate with each other through speech by focusing on the target speech among environmental sounds in real acoustic environments. We can easily identify the target sound from other environmental sounds. For hands‐free speech recognition, the identification of the target speech from environmental sounds is imperative. This mechanism may also be important for a self‐moving robot to sense the acoustic environments and communicate with humans. Therefore, this paper first proposes hidden Markov model (HMM)‐based environmental sound source identification. Environmental sounds are modeled by three states of HMMs and evaluated using 92 kinds of environmental sounds. The identification accuracy was 95.4%. This paper also proposes a new HMM composition method that composes speech HMMs and an HMM of categorized environmental sounds for robust environmental sound‐added speech recognition. As a result of the evaluation experiments, we confirmed that the proposed HMM composition outperforms the conventional .