Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Monetary Policy Strategies at the Effective Lower Bound with Sudden Surprises

We examine how private sector agents might learn a new monetary strategy that is adopted while at the ELB. Little can be discovered until the economy improves enough that rates would be near liftoff under the old strategy. Recessionary shocks would thus delay learning while large inflationary shocks could outright stop it and so inhibit the ability of the new strategy to address future ELB episodes. The central bank can offset some of the inflation-induced learning loss by deviating from its new strategy, but this decision comes at the cost of higher near-term inflation and greater uncertainty about monetary policy.
La comunicación: una estrategia para dialogar con el Programa Bono Juana Azurduy

Los preceptos de este trabajo indagaron la comunicación interna y externa en el Programa Bono Juana Azurduy, donde los involucrados, específicamente los trabajadores, tienen responsabilidadpara designar estrategias que favorezcan su desarrollo. El paradigma metodológico fundamental fue el interpretativo y el tipo de investigación descriptiva, porque se describieron situaciones y eventos en determinado fenómeno, recogidos en instrumentos tipo encuestas y entrevistas. De acuerdo con la indagación y el diagnóstico realizados, se detectó que la inexistencia de procesos informativos efectivos conlleva a una desorganización y al flujo negativo de la comunicación. Se reveló la necesidad de orientar y diseñar a la brevedad posible, estrategias de comunicación tanto internas como externas. Contribuyendo con las políticas de cambio y afrontando el reto de ingresar con incentivos a rincones alejados del territorio boliviano; como lo es la maternidad segura y el desarrollo integral de la población infantil de cero a dos años de edad, mediante el Bono Madre Niño-Niña “Juana Azurduy” en el marco del Plan Nacional de Desarrollo y las políticas de erradicación de la pobreza extrema.
Evaluating multi-loop Feynman integrals using differential equations: automatizing the transformation to a canonical basis

In the past years the method of differential equations has been proven to be a powerful tool for the computation of multi-loop Feynman integrals. This method relies on the choice of a basis of master integrals in which the dependence on the dimensional regulator factorizes. We will present an algorithm, which automatizes the transformation to such a basis, starting from some basis that is, for instance, obtained by the usual integration-by-parts reduction techniques. Our algorithm only requires some mild assumptions about the reduction basis. In particular, it applies to problems with multiple scales and rational dependence on the regulator.
Electromagnetic-Energy Flow in Anisotropic Metamaterials: The Proper Choice of Poynting’s Vector

We study the controversy about the proper determination of the electromagnetic energy-flux field in anisotropic materials, which has been revived due to the relatively recent experiments on negative refraction in metamaterials. Rather than analyzing energy-balance arguments, we use a pragmatic approach inspired by geometrical optics, and compare the predictions on angles of refraction at a flat interface of two possible choices on the energy flux: and . We carry out this comparison for a monochromatic Gaussian beam propagating in an anisotropic non-dissipative anisotropic metamaterial, in which the spatial localization of the electromagnetic field allows a more natural assignment of directions, in contrast to the usual study of plane waves. We compare our approach with the formalism of geometrical optics, which we generalize and analyze numerically the consequences of either choice.
Obstacles as Switches between Different Cardiac Arrhythmias

Ventricular fibrillation is a very important health problem as is the cause of most of the sudden deaths in the world. Waves of electrical activity are sent by the SA node, propagate through the cardiac tissue and activate the mechanisms of cell contraction, and therefore are responsible to pump blood to the body harmonically. A spiral wave is an abnormal auto sustainable wave that is responsible of certain types of arrhythmias. When these waves break up, give rise to the fibrillation regime, in which there is a complete loss in the coordination of the contraction of the heart muscle. Interaction of spiral waves and obstacles is also of great importance as it is believed that the attachment of a spiral wave to an obstacle can provide with a transition of two different arrhythmias. An obstacle can be partially excitable or non excitable. In this talk, we present a numerical study of the interaction of meandering spiral waves with partially and non excitable obstacles and focus on the problem where the obstacle plays a fundamental role in the switch between different spiral regimes, which represent different arrhythmic regimes. Particularly, we study the phenomenon of destabilization of spiral waves due to the presence of obstacles, a phenomenon not completely understood (This work will appear as a Chapter in a Book named Cardiac Arrhytmias by INTECH under the name ”Spiral Waves, Obstacles and Cardiac Arrhythmias”, ISBN 979-953-307-050-5.). Keywords—Arrhythmias, Cardiac tissue, Obstacles, Spiral waves
Braking performance of friction materials: A review of manufacturing process impact and future trends

The brake friction materials are composite materials with multi-ingredient systems which induce a complex formulation. This complexity is also the result of the manufacturing parameters effects, such as mixture sequence and duration, moulding pressure, time, temperature and heat treatment time. Therefore, heterogeneity is induced as well in the characteristics (microstructure, density, etc.) as in the behaviour (mechanical, tribological, dynamic, etc.). Despite the study of the effect of manufacturing parameters on the friction material behaviour, the synergistic effect between the heterogeneity and the braking performance is still not well reported. This paper strives to eliminate the cloud of uncertainty of the role of manufacturing parameters on the friction material performances by providing most used process of elaboration, and most required properties for contemporary brake system. Innovation in brake discs and pad manufacturing by optimized algorithms, prediction approaches, and 3D printing process is presented as innovative methods to improve braking materials performance.
Existence and enumeration of spanning structures in sparse graphs and hypergraphs

This thesis examines the robustness of sparse graphs and hypergraphs with respect to containing copies of given spanning subgraphs. In particular, we prove analogues of the bandwidth theorem for random and pseudorandom graphs, as well as a Dirac-type theorem for Hamilton Berge cycles in random r-uniform hypergraphs. Furthermore, we determine conditions for the existence of rainbow matchings in edge-coloured multigraphs and study the number of spanning trees in graphs chosen uniformly at random from subfamilies of series-parallel graphs. Diese Dissertation beschäftigt sich mit der Robustheit von dünnen Graphen und Hypergraphen bezüglich des Auftretens gegebener aufspannender Subgraphen. Insbesondere werden Analoga des Bandweitentheorems für zufällige und pseudozufällige Graphen und ein sogenanntes Dirac-artiges Theorem für Berge-Hamiltonkreise in zufälligen r-uniformen Hypergraphen bewiesen. Zudem werden Bedingungen, die die Existenz von Regenbogenmatchings in kantengefärbten Multigraphen sichern, bestimmt und die Anzahl der Spannbäume in Graphen, die zufällig aus Unterfamilien von serien-parallelen Graphen gewählt werden, studiert.
Factors that Affect Consumers' Willingness to Buy Organic FoodUsing Teenagers as an Example

With the rise of people's living standards and quality to pursue a healthier lifestyle, the purchase of organic food has gradually increased, thus becoming more and more common. Some people now care more about the quality of food rather than the price. Teenagers (between13-19) could be one of the majorities of needing to buy healthy food. So it is essential to know teenagers' attitudes toward organic food. Based on the planned behavior model, this paper studies three dimensions of behavior attitude, subjective norms, and perceptual behavior control, including three factors: consumers' love for organic food, subjective social norms for organic food, and consumers' perceived ability to control the behavior of purchasing organic food. This paper obtains valid data through questionnaires, then analyses the data and verifies that the hypothesis is valid. According to the study results, young consumers' willingness to buy organic food is influenced by their classmates and friends and spending power. Finally, some suggestions are given for the purchasing behavior of young people.he data were obtained through the questionnaire survey, quantified, tested the hypotheses, and made an analysis and suggestions, according to the study's findings, for young consumers' inclination to purchase organic food.
On the pragmatics of logical connectives

This paper discusses the issue of connectives in natural language, adopting a formalist approach in pragmatics. The outcome is that truth-conditional connectives are limited to conjunction, disjunction and conditional, and that negation, even in its metalinguistic and non-truth-conditional usages, has representational contextual effects, as suppressing a proposition and a presupposition or strengthening a proposition. As regards discourse connectives, they exhibits a strong pragmatic property, that is, they almost all exhibit factivity. Finally, quasi-synonym connectives, as causal ones, do not differ in meaning but in the way their conceptual and procedural meanings are distributed at different layers.
Assessing Fun Items' Effectiveness in Increasing Learning of College Introductory Statistics Students: Results of a Randomized Experiment

ABSTRACT There has been a recent emergence of scholarship on the use of fun in the college statistics classroom, with at least 20 modalities identified. While there have been randomized experiments that suggest that fun can enhance student achievement or attitudes in statistics, these studies have generally been limited to one particular fun modality or have not been limited to the discipline of statistics. To address the efficacy of fun items in teaching statistics, a student-randomized experiment was designed to assess how specific items of fun may cause changes in statistical anxiety and learning statistics content. This experiment was conducted at two institutions of higher education with different and diverse student populations. Findings include a significant increase in correct responses to questions among students who were assigned online content with a song insert compared with those assigned content alone.
Low-dose ketamine infusions for chronic pain management: Does this qualify as evidence-based practice?

Chronic pain is becoming increasingly prevalent and burdensome both worldwide and in the United Kingdom. Due to the complexity of chronic pain and the therapeutic challenge associated, management is often difficult and requires multidisciplinary care encompassing a combination of pharmacological and non-pharmacological strategies. Conventional analgesic treatments, such as opioids and anticonvulsants, are effective in less than half of chronic pain sufferers and are typically limited to short-term use to prevent complications associated with long-term use such as tolerance and dependence. Consequently, research and clinical interest in alternative management options for chronic pain have increased in recent years, with ketamine being one example under investigation. However, since ketamine has been licensed as an anaesthetic for decades, it has bypassed the traditional scrutinous drug development sequence that is typically seen for therapeutics marketed for pain. As such, data supporting the unlicensed administration of ketamine for chronic pain management is lacking and is being outpaced by the rates of off-label use in pain clinics. Recent limited evidence suggests that ketamine, when given as an intravenous infusion in subanaesthetic doses for refractory pain patients, may provide modest analgesic effects in nearly all aetiologies of chronic pain, with side effects common but typically mild. However, there are concerns over the safety of this practice due to the paucity of robust supportive evidence and the accompanying lack of clinical guidelines or standardised protocols. This review shall summarise the literature examining the use of subanaesthetic-dose ketamine infusions for chronic pain to comment on the current level of evidence, with limitations of existing research and future recommendations discussed.
A Wideband and Dual-Polarized Millimeter-Wave Antenna With Single-Layered Geometry and Low Profile

This communication reports the design of a novel wideband and dual-polarized millimeter-wave antenna with single-layered geometry and low profile. The antenna is mainly composed of a square patch and two inverted-F antennas (IFAs), and they are located in the same substrate layer. Wide bandwidth has been achieved by taking advantage of the dual resonances generated by patch and IFA modes. The antenna feed is constructed by a through pin connecting to the corresponding IFA and, therefore, leads to a dual-polarized antenna performance as well as a single-layered antenna structure with a low profile of <inline-formula> <tex-math notation="LaTeX">$0.07\lambda _{0}$ </tex-math></inline-formula>. An L-shaped metal strip has been introduced in order to improve port isolation. The design concept has been verified by prototyping and testing a <inline-formula> <tex-math notation="LaTeX">$2\times2$ </tex-math></inline-formula> array antenna in the Ka-band. It has been demonstrated that the proposed <inline-formula> <tex-math notation="LaTeX">$2\times2$ </tex-math></inline-formula> array antenna has a 21% bandwidth with average total efficiency higher than 72% and realized gain of up to 11.1 dBi.
Monotone spline-based nonparametric estimation of longitudinal data with mixture distributions

In the dissertation, a monotone spline-based nonparametric estimation method is proposed for analyzing longitudinal data with mixture distributions. The innovative and efficient algorithm combining the concept of projected Newton-Raphson algorithm with linear mixed model estimation method is developed to obtain the nonparametric estimation of monotone B-spline functions. This algorithm provides an efficient and flexible approach for modeling longitudinal data monotonically. An iterative ‘one-step-forward’ algorithm based on the K-means clustering is then proposed to classify mixture distributions of longitudinal data. This algorithm is computationally efficient, especially for data with a large number of underlying distributions. To quantify the disparity of underlying distributions of longitudinal data, we also propose an index measure on the basis of the aggregated areas under the curve (AAUC), which makes no distributional assumptions and fits the theme of nonparametric analysis. An extensive simulation study is conducted to assess the empirical performance of our method under different AAUC values, covariance structures, and sample sizes. Finally, we apply the new approach in the PREDICT-HD study, a multi-site observational study of Huntington Disease (HD), to explore and assess clinical markers in motor and cognitive domains for the purpose of distinguishing participants at risk of HD from healthy subjects.
Case study of intergenerational learning courses implemented in a preschool: perceptions of young children and senior citizens

ABSTRACT Public awareness of health-related topics is increasing, and an increase in average life expectancy has increased the senior citizen population in Taiwan. Furthermore, because of the high cost of raising young children, people’s willingness to give birth has decreased. Taiwan’s aging population and declining birth rate are key challenges for its population development, and the promotion of interactions between young children and senior citizens is also a crucial topic for scholars. Therefore, intergenerational learning has been proposed, and several Taiwanese preschools have attempted to develop intergenerational learning courses. This study explored the perceptions of young children and senior citizens during the implementation of intergenerational learning courses in a preschool. The results revealed that the implementation of such courses allowed young children and senior citizens to influence each other’s life experiences and develop positive feelings. The interactions also promoted their psychological well-being. Through this study, we clarified the effectiveness of intergenerational learning courses. Finally, we proposed that intergenerational learning courses with the themes of ‘caring’ and ‘love’ should be developed and integrated into intergenerational learning courses.
IMPLEMENTASI ALGORITMA FP-GROWTH DALAM PENJUALAN DI TOKO SAMUDRA BAUT DAN TEKNIK

Toko Samudra Baut dan Teknik adalah Toko yang menyediakan berbagai macam alat alat Teknik, seperti mesin dan alat alat pertukangan lainnya. Alat alat teknik dan pertukangan adalah kebutuhan dalam suatu pembangunan proyek, dengan tingginya tingkat transaksi penjualan menghasilkan tumpukan data yang banyak. Dalam hal ini dibutuhkan teknik pemanfaatan data menjadi informasi baru atau disebut juga data mining. Metode yang tepat untuk pengelompokan data penjualan Toko Samudra Baut dan Teknik adalah dengan menggunakan metode Fp- Growth karena dalam metode ini dapat mengolah data tanpa diketahui label kategori. Data yang digunakan yaitu 118 jenis barang alat alat teknik dalam periode penjualan bulan Januari 2022 sampaii dengan Maret 2022. Tujuan penulisan tugas akhir ini adalah untuk mengetahui penerapan algoritma Asosiasi Fp-Growth menggunakan aplikasi Rapid Miner. Pada penelitian Tugas akhir ini ditentukan nilai minimun suportnya 0.95. Setelah dilakukan eksperimen menggunakan Asosiasi Fp-Growth menghasilkan angka 96%.
Students in interprofessional clinical placements: How supervision facilitates patient-centeredness in collaborative learning

ABSTRACT The patient’s role in interprofessional education is fundamental; however, it has received insufficient attention. This study explores how supervision facilitates and supports undergraduate students’ learning of patient-centeredness in interprofessional clinical placements. Data were generated in three clinical contexts based on a focused ethnography approach. We found that supervisors are engaged in student teams’ interprofessional learning, but often in their preparations or debriefings and seldom during patient encounters. The patient perspective is also less frequently scrutinized in planned interprofessional supervision sessions. Nevertheless, clinical settings provide numerous opportunities that may be exploited further.
Stochastic Volatility Models with ARMA Innovations an Application to G7 Inflation Forecasts

Abstract We introduce a new class of stochastic volatility models with autoregressive moving average (ARMA) innovations. The conditional mean process has a flexible form that can accommodate both a state space representation and a conventional dynamic regression. The ARMA component introduces serial dependence, which results in standard Kalman filter techniques not being directly applicable. To overcome this hurdle, we develop an efficient posterior simulator that builds on recently developed precision-based algorithms. We assess the usefulness of these new models in an inflation forecasting exercise across all G7 economies. We find that the new models generally provide competitive point and density forecasts compared to standard benchmarks, and are especially useful for Canada, France, Italy, and the U.S.
Analyzing the School Principal’s Role in Teacher Professional Development

This article determined and analyzed the school principal’s roles in teacher professional development. This short research study was conducted to investigate the way in which principal’s coach and mentor teachers’ professional learning at the school level of primary schools in Bhutan. Using the narrative-survey method, the finding reveals that, in general, a teacher should provide constant and timely coaching and monitoring, grant autonomy to make decisions, need to meet local needs and promote teamwork. Moreover, the principal should play a major role in involving teachers in leading, planning, encouraging, implementing, and evaluating.
Analysis of Bystander Intervention Behavior in Chinese Adolescents' Cyberbullying in Post-epidemic Era

This paper analyzed the bystander intervention behavior of Chinese adolescents' cyberbullying in the post-epidemic period. In cyberbullying incidents, bystander inaction often exacerbates the adverse effects of cyberbullying on victims. However, bystanders can intervene in behaviors to prevent cyberbullying or provide support to victims. In this study, questionnaires were distributed on social media platforms utilizing questionnaires, and the relationship between variables was explained based on Theory of Planned Behavior (TPB) theory. The results showed that in the post-epidemic era when adolescents were exposed to violent content on the Internet, their attitude towards cyberbullying intervention behavior, their subjective norms of cyberbullying intervention behavior, and their perceived behavioral control of cyberbullying intervention behavior were positively correlated with cyberbullying intervention behavior. However, the experiences of cyberbullying and bystander intervention were not significantly related among teenagers. Therefore, this analysis asserted that in the post-epidemic era, under the effect of COVID-19, views, norms, and sense of agency around cyberbullying among teenagers Cyberbullying bystander intervention behavior was favorably affected by bystander intervention. This can enrich the theoretical results of TPB and provide academic support for subsequent scholars' analysis.
Construction progress of WEAVE: the next generation wide-field spectroscopy facility for the William Herschel Telescope

We present an update on the overall construction progress of the WEAVE next-generation spectroscopy facility for the William Herschel Telescope (WHT), now that all the major fabrication contracts are in place. We also present a summary of the current planning behind the 5-year initial phase of survey operations, and some detailed end-to-end science simulations that have been effected to evaluate the final on-sky performance after data processing. WEAVE will provide optical ground-based follow up of ground-based (LOFAR) and space-based (Gaia) surveys. WEAVE is a multi-object and multi-IFU facility utilizing a new 2-degree prime focus field of view at the WHT, with a buffered pick-and-place positioner system hosting 1000 multi-object (MOS) fibres, 20 integral field units, or a single large IFU for each observation. The fibres are fed to a single (dual-beam) spectrograph, with total of 16k spectral pixels, located within the WHT GHRIL enclosure on the telescope Nasmyth platform, supporting observations at R~5000 over the full 370-1000nm wavelength range in a single exposure, or a high resolution mode with limited coverage in each arm at R~20000. The project has experienced some delays in procurement and now has first light expected for the middle of 2019.
On pure Goldie dimensions

ABSTRACT In this paper, we examine the pure Goldie dimension and dual pure Goldie dimension in finitely accessible additive categories. In particular, we show that if A is an object in a finitely accessible additive category 𝒜 that has finite pure Goldie dimension n and finite dual pure Goldie dimension m, then End𝒜(A) is semilocal and the dual Goldie dimension of End𝒜(A) is less than or equal to n+m.