Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-driven calibration for cup anemometer at different measurement locations around buildings using transfer learning based on domain adaptation

In recent years, high-precision sensors, e.g., ultrasonic anemometers, have been widely used for wind measurement. However, conventional sensors, e.g., cup anemometers, are yet to be replaced owing to their low-cost advantages and high robustness in an uncertain environment. Considering that data-driven calibration methods are used to improve the measurement accuracy of cup anemometers, this study proposed a transfer learning method based on domain adaptation, so that existing measurement data can be used for model training in new measurement scenarios, thus reducing the cost of secondary data collection. In summary, at the corner and side of a building in a new measurement site considered for experiments, the results of the proposed method indicated that the relative errors of pulsation parameters, e.g., the standard deviation wind speed, turbulence intensity, and gust factor, more significantly reduced compared to the conventional machine learning method.
Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET Towards a General Model for Semantic Harmonization

This paper presents the specific process we, as part of the Earth Science Information Partners (ESIP) Semantic Harmonization Cluster, used to harmonize terms from the Global Cryosphere Watch (GCW) compilation of cryospheric terms with the Semantic Web for Earth and Environmental Terminology (SWEET) and the Environment Ontology (ENVO). In addition, we summarize a number of leading practices which may be applied to other projects/domains as well as suggest a generalized process for doing so. This paper describes the history of the effort, the technical and decision-making processes used to resolve differences between semantic resources, and describes a number of the issues encountered, with a focus on those that were addressed during the effort. Lessons learned, examples of the problems encountered and a summary of resulting leading practices growing out of this work is provided as an aid to semantic harmonization efforts in other domains by other groups.
General Equilibrium Theory for Climate Change

We propose two general equilibrium models, quota equilibrium and emission tax equilibrium. The government specifies quotas or taxes on emissions, then refrains from further action. Quota equilibrium exists; the allocation of emission property rights strongly impacts the distribution of welfare. If the only externality arises from total net emissions, quota equilibrium is constrained Pareto Optimal. Every quota equilibrium can be realized as an emission tax equilibrium and vice versa. However, for certain tax rates, emission tax equilibrium may not exist, or may exhibit high multiplicity. Full Pareto Optimality of quota equilibrium can often be achieved by setting the right quota.
Customizable Stereogram Creator

We present a customizable system that allows for users to create personalized autostereograms. We provide options for the construction of random-dot stereograms and custom pattern stereograms, alongside personalized user input for meshes, image size, oversampling, and eye convergence distance. This system outputs a single-image optical illusion wherein the user must adjust their vision to experience the appearance of three dimensions and depth.
ON THE BROUSSEAU SUMS (cid:80) ni =1 i p F i

We start with new convolution formulas for F n − n p involving only the binomial coeﬃcients. Then, we use those to ﬁnd direct formulas for the sums (cid:80) ni =1 i p F n − i and (cid:80) ni =1 i p F i , and we show how our formulas connect to work in earlier papers by Ledin, Brousseau, Zeitlin, Adegoke, Shannon and Ollerton
Further Results on Quasi‐Synchronization of Delayed Chaotic Systems with Parameter Mismatches Via Intermittent Control

This paper focuses on the problem of quasi‐synchronization of delayed chaotic systems with parameter mismatches via aperiodically intermittent control. First, the intermittently controlled systems are modeled as switched systems with two modes. Then, piecewise switching‐time‐dependent Lyapunov functional/function are introduced for stability analysis of the switched systems. As a result, two novel sufficient conditions for quasi‐synchronization are established under a small error bound. Based on the obtained quasi‐synchronization criteria, the existence of the aperiodically intermittent controllers is presented in the form of Linear Matrix Inequalities (LMIs). Finally, chaotic neural networks and Chua's circuit are provided to verify the validity of the proposed method.
Julia sets in random holomorphic dynamics

This dissertation studies the properties of Julia sets arising in random iteration of holomorphic functions. It consists of two parts, each one concerning a natural generalization of a classical family of functions from autonomous complex dynamics. The first part deals with random iterations of the quadratic family, that is we consider a sequence of compositions of z2 + cn where the values of cn change along iteration. In this setting the Julia set depends on the sequence (cn)n>0 and not just on one parameter. Descriptions of the set of sequences for which the Julia set is totally disconnected have been of some interest. The main result of this section is an answer to a question posed by Brück, Büger and Reitz in 1999. They asked whether the Julia set is almost always (with respect to the product of Lebesgue measures) totally disconnected, when the sequences are chosen from the product space of disks of large enough radius R > 4 . We give a positive answer to this question by showing that any R > 4 is sufficient, and in fact prove the statement for much more general spaces than products of disks. In particular, a result which may be surprising from the point of view of autonomous dynamics, one can also take sequences from the infinite product of copies of the main cardioid of the Mandelbrot set and the same statement holds. Lastly this part also contains some results on the maximal measure of the above quadratic Julia sets. In particular we prove a formula for the Hausdorf dimension of said measure, as well as several results on its dependence on the parameter space. In the second part of the dissertation we study random iterations of the exponential family λne. Once again the Julia set depends on a sequence (λn), but this time we are concerned with characterizing sequences of real numbers for which the Julia set is the whole complex plane. In the autonomous setting the Julia set of λez is the whole plane for λ > e , thus unsurprisingly various sequences converging to e are considered. Among other results we prove that the Julia set for a sequence (λn) where λn = e + 1 np is the whole plane for p < 1 2 . On the other hand we provide an example of a sequence for which the Fatou set is non-empty, despite all the trajectories of the singular value 0 escaping to infinity.
Time Dynamics of Cyber Risk

This paper utilizes three large databases to better understand the characteristics of cyber loss events, especially how to deal with data biases and how cyber losses evolve over time. We first deal with the problem of report delay with an extended two-stage model in combination with detailed information in our data. Then we analyze the frequency and severity of different categories of cyber events (such as malicious and negligent events) using state-of-art statistical methods for the detection of structural changes. We document that the frequency is increasing rapidly with the malicious cyber events growing exponentially in the past two decades but there is no significant change in loss severity. We also explore the tail dynamics and find that the heavy-tailedness of cyber events is persistent over time. Finally, we develop a conceptual model with the documented empirical features (delayed information and heavy-tailedness) and show that they lead to significantly lower insurance demand. This might help explain the low volume of the cyber insurance market observed today. JEL classification: C15, G22, G32. We thank Glenn Harrison, Marcel Tyrell, Julia Holzapfel, and the participants at the 2022 American Risk and Insurance Annual Conference, 2022 European Group of Risk Insurance Economists Annual Conference, 2022 German Finance Association Annual Conference, 2022 Asia-Pacific Risk and Insurance Conference, and PiF seminar at the University of St. Gallen for their comments. Institute of Insurance Economics, University of St. Gallen, Switzerland Imperial College Business School, UK 1
Simulating Rube Goldberg Machines Using Rigid Body Collisions

1 Motivation There are many impressive video demonstrations of domino chains or Rube Goldberg-esque machines in computer graphics. They capture the potential of rigid body simulation by showing the actions of multiple simple objects chaining together to produce large or entertaining effects. For example, the Fiat Lux video that was shown in lecture used a chain of dominoes falling over to enhance the already impressive ray tracing effects on display. Our goal was to use rigid body collision detection to create our own version of a computer-modeled Rube Goldberg machine that could produce similarly awe-inspiring results.
Fundamentals of Teaching Karakalpak Language Competence

--------------------------------------------------------------***-------------------------------------------------------------Abstract: There are many connections in science, and they can be given for various reasons - by scientific discipline, by the object of application, organizational and others. When forming linguodidactic competencies, it is necessary to determine the relationship of communication that has developed during the training of teachers of the Karakalpak language on the basis of competence-based communication with other methodological communication.
Common Molecular Determinants of Flecainide and Lidocaine Block of Heart Na (cid:2) Channels: Evidence from Experiments with Neutral and Quaternary Flecainide Analogues

Flecainide (pKa 9.3, 99% charged at pH 7.4) and lidocaine (pKa 7.6–8.0, (cid:2) 50% neutral at pH 7.4) have similar structures but markedly different effects on Na (cid:2) channel activity. Both drugs cause well-characterized use-dependent block (UDB) of Na (cid:2) channels due to stabilization of the inactivated state, but ﬂecainide requires that channels ﬁrst open before block develops, whereas lidocaine is believed to bind directly to the inactivated state. To test whether the charge on ﬂecainide might determine its state speciﬁcity of Na (cid:2) channel blockade, we developed two ﬂecainide analogues, NU-FL (pKa 6.4), that is 90% neutral at pH 7.4, and a quaternary ﬂecainide analogue, QX-FL, that is fully charged at physiological pH. We examined the effects of ﬂecainide, NU-FL, QX-FL, and lidocaine on human cardiac Na (cid:2) channels expressed in human embryonic kidney (HEK) 293 cells. At physiological pH, NU-FL, like lidocaine but not ﬂecainide, interacts preferentially with inactivated channels without prerequisite channel opening, and causes minimal UDB. We ﬁnd that UDB develops predominantly by the charged form of ﬂecainide as evidenced by investigation of QX-FL at physiological pH and NU-FL investigated over a more acidic pH range where its charged fraction is increased. QX-FL is a potent blocker of channels when applied from inside the cell, but acts very weakly with external application. UDB by QX-FL, like ﬂecainide, develops only after channels open. Once blocked, channels recover very slowly from QX-FL block, apparently without requisite channel opening. Our data strongly suggest that it is the difference in degree of ionization (pKa) between lidocaine and ﬂecainide, rather than gross structural features, that determines distinction in block of cardiac Na (cid:2) channels. The data also suggest that the two drugs share a common receptor but, consistent with the modulated receptor hypothesis, reach this receptor by distinct routes dictated by the degree of ionization of the drug molecules.
Individual differences in the signaling of prosodic structure by changes in voice quality

Earlier work has shown that speakers of American English often (although not always) produce irregular pitch periods (or other changes in voice quality) at prosodically significant locations, such as the onset of a new intonational phrase or a pitch-accented syllable, when those constituents begin with a [ + voiced] phonemic segment (Pierrehumbert & Talkin 1992). This tendency varied substantially across 5 speakers of FM-Radio-News-style speech (Dilley et al. 1996). Further work with speakers of a west-coast dialect (Garellek 2012) raised questions about the appearance of this cue at phrase onsets, when the phrase begins with a prosodically weak (lexically unstressed) syllable; this suggests that it occurs only for phrasally-strong (pitch accented) syllables, whether they occur in phrase-initial position or not. In contrast, extensive analysis of voice quality changes in a corpus of imitated utterances produced by speakers of a mid-western dialect (Cole & Shattuck-Hufnagel 2011) clearly shows a tendency f.
Expression of Apoptosis-Related Genes in Cultured Ovarian Tissue of Mouse in Presence of Coenzyme Q10

Objective: Oxidative stress affects the development of ovarian follicles during in vitro culture thus applying an antioxidant is necessary. The aim of this study was to investigate the effect of coenzyme Q10 (CoQ10) on the expression of apoptosis-related genes of mouse ovaries during in vitro culture. Materials and methods: The immature mouse ovaries were cultured in the presence of 50 μM CoQ10 for 7 days. Histological examinations were performed and the 17 beta-estradiol concentration was measured on the seventh day of culture. The relative expression of Caspase 3, Bax, Bad, and Bcl 2 genes were investigated by real-time RT-PCR. Results: The rates of normal follicles in the presence of CoQ10 was significantly increased compared to the control group. Also, in CoQ10-trated group a significant increase in the level of 17 beta-estradiol was seen compared to the control group. The mRNA expression of anti-apoptotic gene Bcl2 was significantly increased while the expression of pro-apoptotic genes (Caspase3, Bax and Bad) significantly declined in CoQ10 treated group compared to those of control group. Conclusion: The supplementation of the ovarian culture media with CoQ10 improved the follicular development through alteration in expression of apoptosis-related genes and stimulated the production of estradiol.
On a mixed problem for Navier-Stokes system in the unit cube

There are usually mathematical models based on differential equations, integral equations and integro-differential equations for physical and natural events. These models are frequently based on Cauchy problem, boundary value problem or mixed problem ([5-9, 18-20]). If there is the time variable in these equations, for verification of their solutions we obtain a boundary value problem which is depend on complex parameter by using the method in [15] or Laplace transform (see [7, 18]). The boundary value problem may be in a bounded or unbounded region. We must provide boundary conditions in bounded regions, but solutions of the problems and their derivatives are periodic or tend to zero at infinity in unbounded regions. The potential theory is useful in many boundary value problems, for example Dirichlet and Neumann problems. But, potential theory is not efficient in solving of many another problems (see [1-3, 10, 12-14] and [17]). We shall give a method that it will be efficient than the potential theory. The Euler and Navier-Stokes equations describe the motion of a fluid in Rn (n = 2 or n = 3). These equations are to be solved for an unknown velocity vector u(x, t) = (ui(x, t))1≤i≤n ∈ Rn and pressure p(x, t) ∈ R, defined for position x ∈ Rn and time t ≥ 0. We restrict attention here to incompressible fluids filling all of Rn. The Navier-Stokes equations are then given by:
The Use of The Lectora Inspire Assisted Poe Learning Model on Body Defense System Material

The POE (Predict-Observe-Explain) model is a constructivism-based learning model that allows students to build their own knowledge. The purpose of this study was to assess the effect of the Lectora Inspire-assisted POE learning model on students' critical thinking skills. The research sample was 32 students of class XI MIPA 1 as the control class and 32 students of XI MIPA 3 as the experimental class. This type of research is a quasi-experimental research design with nonequivalent control group design where in this study one group was given learning treatment using the Predict-Observe-Explain (POE) model assisted by Lectora Inspire and the other group was not given any treatment. The data was obtained through a description test. Based on the results of hypothesis testing using T-test analysis, the value of Tcount is 4.309. The value of Tcount is 4.309 mote than Ttable 1.999 at a significance level of 0.05 then Ho is rejected, meaning that there is an influence of the Lectora Inspire-assisted POE learning model on students thinking skills on the bodys defense system material.
On Updating Preconditioners for the Iterative Solution of Linear Systems

The main topic of this thesis is updating preconditioners for solving large sparse linear systems Ax=b by using Krylov iterative methods. Two interesting types of problems are considered. In the first one is studied the iterative solution of non-singular, non-symmetric linear systems where the coefficient matrix A has a skew-symmetric part of low-rank or can be well approximated with a skew-symmetric low-rank matrix. Systems like this arise from the discretization of PDEs with certain Neumann boundary conditions, the discretization of integral equations as well as path following methods, for example, the Bratu problem and the Love's integral equation. The second type of linear systems considered are least squares (LS) problems that are solved by considering the solution of the equivalent normal equations system. More precisely, we consider the solution of modified and rank deficient LS problems. By modified LS problem, it is understood that the set of linear relations is updated with some new information, a new variable is added or, contrarily, some information or variable is removed from the set. Rank deficient LS problems are characterized by a coefficient matrix that has not full rank, which makes difficult the computation of an incomplete factorization of the normal equations. LS problems arise in many large-scale applications of the science and engineering as for instance neural networks, linear programming, exploration seismology or image processing. Usually, incomplete LU or incomplete Cholesky factorization are used as preconditioners for iterative methods. The main contribution of this thesis is the development of a technique for updating preconditioners by bordering. It consists in the computation of an approximate decomposition for an equivalent augmented linear system, that is used as preconditioner for the original problem. The theoretical study and the results of the numerical experiments presented in this thesis show the performance of the preconditioner technique proposed and its competitiveness compared with other methods available in the literature for computing preconditioners for the problems studied.
Determinan Kinerja Pegawai Dinas Kesehatan Kabupaten Tapanuli Tengah

This study aims to analyze the effect of training, competence and individual characteristics on employee performance in the health office of Central Tapanuli Regency. This type of research is a quantitative study with a saturated sample method, amounting to 65 employees at the Central Tapanuli District Health Office. The results showed that partially training and competence had no significant effect on employee performance in the Health Office of Central Tapanuli Regency. While the characteristic variables have a significant effect on employee performance in the Health Office of Central Tapanuli Regency. Simultaneously training, competence and individual characteristics have a significant effect on employee performance in the Health Office of Central Tapanuli District.
The quiet rural soundscape and how to characterize it

Inhabitants of densely populated cities may benefit from the occasional visit to a restorative environment. The soundscape of this environment may add to the restorative and appealing power of the area. In European directives and policy intentions of many countries, the preservation and management of quiet areas has been subscribed. Nevertheless there is little scientific knowledge on how to characterize such areas and possibly grant quality labels. In this manuscript the quiet rural soundscape is studied within its specific context: non-acoustical environment, use. Several indicators for its characterization are derived from a theoretical point of view. These indicators are tested on usability in a particular case study. This leads us to proposing a multi-criteria assessment of quality labels for the quiet rural soundscape.
A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances

ABSTRACT In this paper, we study inference in a heteroscedastic measurement error model with known error variances. Instead of the normal distribution for the random components, we develop a model that assumes a skew-t distribution for the true covariate and a centred Student's t distribution for the error terms. The proposed model enables to accommodate skewness and heavy-tailedness in the data, while the degrees of freedom of the distributions can be different. Maximum likelihood estimates are computed via an EM-type algorithm. The behaviour of the estimators is also assessed in a simulation study. Finally, the approach is illustrated with a real data set from a methods comparison study in Analytical Chemistry.
Efficient Algorithms for Approximating the Centroids of Monotone Directions in a Polyhedron

We present efficient algorithms for computing centroid directions for each of the three types of monotonicity in a polyhedron: strong, weak, and directional monotonicity, which can be used for optimizing directions in many 3D manufacturing processes. Strongly- and directionally-monotone directions are the poles of great circles separating a set of spherical polygons on the unit sphere, the centroids of which are shown to be obtained by applying the previous result for determining the maximum intersection of the set of their dual spherical polygons. Especially in this paper, we focus on developing an efficient method for approximating the weakly-monotone centroid, which is the pole of one of the great circles intersecting a set of spherical polygons on the unit sphere. The original problem is approximately reduced into computing the intersection of great bands for avoiding complicated computational complexity of non-convex objects on the unit sphere, which can be realized with practical linear-time operations.
Temporal disaggregation of economic time series: The view from the trenches

We analyze temporal disaggregation from the point of view of practitioners working as producers of official statistics or as nowcasters. According to this view, applicability, computational feasibility, robustness, and ease of communication are key aspects of temporal disaggregation in addition to statistical soundness and flexibility. We review the models used as a workhorse of this approach, exploring in detail their similitudes and differences. All the models and techniques are examined through the lens of a complete set of MATLAB functions that have been developed for their use in a production model. A real‐time database comprising the Great Recession period is used to evaluate the alternative models and attribute the revisions to changes in the benchmark, seasonal adjustment, and extrapolations.