Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Different Static Air-Gap Eccentricity Forms on Rotor UMP of Turbogenerator

Theoretical analysis and numerical FEM calculations, together with segmental experiment studies, are used to study the impact of the static air-gap eccentricity forms on the rotor unbalanced magnetic pull (UMP) of turbogenerator. The universal expression of the magnetic flux density under different forms of SAGE is firstly deduced, based on which the detailed UMP formulas for the normal condition and three SAGE cases are obtained, respectively. Then the exciting characteristics of the UMP for each SAGE form to generate vibrations are analyzed. Finally, numerical FEM calculations and segmental experiments are carried out to investigate the effect of SAGE forms on the rotor UMP, taking the SDF-9 type non-salient-pole fault simulating generator as the object. It is shown that, no matter what kind of SAGE occurs, amplitude increments at each even harmonic component of the UMP and the rotor vibration, especially the 2nd harmonic component, will be brought in. Meanwhile, the UMP keeps directing to the very position where the minimum radial air-gap is. Among the different SAGE forms, the rotor offset has the most sensitive effect on the rotor UMP and vibration, while the stator ellipse deformation has the weakest impact.
Neural mechanisms of expert persuasion on willingness to pay for sugar

Introduction: Sugar consumption is associated with many negative health consequences. It is, therefore, important to understand what can effectively influence individuals to consume less sugar. We recently showed that a healthy eating call by a health expert can significantly decrease the willingness to pay (WTP) for sugar-containing food. Here, we investigate which aspects of neural responses to the same healthy eating call can predict the efficacy of expert persuasion. Methods: Forty-five healthy participants performed two blocks of a bidding task, in which they had to bid on sugar-containing, sugar-free and non-edible products, while their electroencephalography (EEG) was recorded. In between the two blocks, they listened to a healthy eating call by a nutritionist emphasizing the risks of sugar consumption. Results: We found that after listening to the healthy eating call, participants significantly decreased their WTP for sugar-containing products. Moreover, a higher intersubject correlation of EEG (a measure of engagement) during listening to the healthy eating call resulted in a larger decrease in WTP for sugar-containing food. Whether or not a participant’s valuation of a product was highly influenced by the healthy eating call could also be predicted by spatiotemporal patterns of EEG responses to the healthy eating call, using a machine learning classification model. Finally, the healthy eating call increased the amplitude of the P300 component of the visual event-related potential in response to sugar-containing food. Disussion: Overall, our results shed light on the neural basis of expert persuasion and demonstrate that EEG is a powerful tool to design and assess health-related advertisements before they are released to the public.
Value of lymph node ratio as a prognostic factor of recurrence in medullary thyroid cancer

Background and Objectives The purpose of this study is to evaluate the relationship between lymph node status (the number of resected lymph nodes; the number of metastatic lymph nodes, LNM, and lymph node ratio, LNR) and biochemical recurrence, disease-free survival (DFS), as well as overall survival (OS) in medullary thyroid carcinoma (MTC). Methods This study enrolled MTC patients at Tianjin Medical University Cancer Institute and Hospital between 2011 and 2019. We used Logistic regression analysis, Cox regression models and Kaplan-Meier test to identify risk factors influencing biochemical recurrence, DFS, and OS. Results We identified 160 patients who satisfied the inclusion criteria from 2011 to 2019. We used ROC analysis to define the cut-off value of LNR with 0.24. Multifocality, preoperative calcitonin levels, pathologic N stage, resected lymph nodes, LNM, LNR, and the American Joint Committee on Cancer (AJCC) clinical stage were significant (P < 0.05) prognostic factors influencing biochemical cure. In univariable analyses, gross extrathyroidal extension, preoperative calcitonin levels, pathologic T classification, pathologic N stage, resected lymph nodes, LNM, LNR, AJCC clinical stage, and biochemical cure were significant (P < 0.05) factors of DFS. When the multivariable analysis was performed, LNR was identified as predictor of DFS (HR = 4.818, 95% CI [1.270–18.276]). Univariable Cox regression models reflected that tumor size, pathologic N stage, and LNR were predictor of OS. Furthermore, multivariable analysis manifested that LNR was predictor of OS (HR = 10.061, 95% CI [1.222–82.841]). Conclusions This study illustrated that LNR was independent prognostic factor of DFS and OS in MTC. In addition, LNR influenced biochemical cure. Further investigations are needed to determine the optimal cut-off value for predicting prognosis.
Overview of the Development of Origami-inspired Robot Arms

Robotic arms have always been the enabling technology that promotes the development of human society and science technology, such as invasive surgery, intelligent manufacturing, aerospace engineering, etc. However, conventional robotic arms suffer from the disadvantages of limited DOFs, hefty weight, miniaturization difficulty, and poor human-machine interaction. The emerging soft robot arm is attracting attention for its excellent performance regarding human-machine interaction and degrees of freedom. As a novel paradigm of the soft robot arm, the origami-inspired robot arm not only reserves the advantages mentioned above but also is better at coping with more scenarios due to its inherent deformation ability. This study focuses on origami-inspired robotic arms, summarizes the commonalities of origami crease patterns capable of being used to design and make robotic arms, and addresses the state-of-the-art investigations on the driving method, intending to offer insights into the future direction of the development for origami-inspired robotic arms.
Analyzing the unrestricted web: The finnish corpus of online registers

This article introduces the Finnish Corpus of Online Registers (FinCORE) representing the full range of registers – situationally defined text varieties such as news and blogs – on the Finnish Internet. The extreme range of language use found online has challenged the study of registers. It has been unclear what registers the entire Internet includes, and if they can be sufficiently defined to allow for their analysis or classification, previous studies focusing on restricted sets of registers and English. FinCORE features 10,754 texts from the unrestricted web, manually annotated for their register using a scheme originally established for the Corpus of Online Registers of English (CORE). We present the FinCORE registers and compare them to CORE. Finally, we show that the FinCORE registers are sufficiently well-defined to allow for their automatic identification, thus opening novel possibilities for both linguistics and web-as-corpus research. FinCORE is published under an open license.
Role of the Molecular Tumor Board for the Personalized Treatment of Patients with Metastatic Breast Cancer: A Focus on the State of the Art in Italy

Simple Summary Molecular tumor boards (MTBs) aim to translate the results of genomic tests into clinical practice in order to set-up the most appropriate therapeutic strategy for the individual patient. Genomic tests represent a challenge for the Italian National Health System, which must set-up new paths for access to medicines and, at the same time, guarantee economic sustainability. Furthermore, the scientific and clinical skills of clinicians must be guaranteed to follow the complex and rapid evolution of cancer genetics and the availability of agnostic anticancer drugs. This review aims to analyze the role of MTBs in the management of patients with metastatic breast cancer (MBC). Abstract Molecular tumor boards (MTBs) are multidisciplinary groups that combine molecular and clinical data from cancer patients in order to formulate treatment recommendations for precision medicine. To date, there is insufficient data to support the use of singleplex or next-generation sequencing (NGS) technologies to select first-line therapy for patients with metastatic breast cancer (MBC), but considering the high number of level II alterations, according to the ESMO scale for clinical actionability of molecular targets (ESCAT), it is suggested to include patients in molecular screening programs in order to be able to offer targeted therapies for specific genomic alterations. This article aims at reviewing the most recent literature related to the most used methodologies/approaches for molecular diagnostics and variants’ classification, summarizing the internationally published molecular screening studies in support of MTB activity and, in the end, discussing MTBs’ current position and role in Italy, the number of which is increasing, also thanks to the thrust of institutions.
Future Projection of Extreme Precipitation Indices over the Qilian Mountains under Global Warming

The Qilian Mountains are a climate-sensitive area in northwest China, and extreme precipitation events have an important impact on its ecological environment. Therefore, considering the global warming scenario, it is highly important to project the extreme precipitation indices over the Qilian Mountains in the future. This study is based on three CMIP6 models (CESM2, EC-Earth3, and KACE-1-0-G). A bias correction algorithm (QDM) was used to correct the precipitation outputs of the models. The eight extreme precipitation indices over the Qilian Mountains during the historical period and in the future were calculated using meteorological software (ClimPACT2), and the performance of the CMIP6 models to simulate the extreme precipitation indices of the Qilian Mountains in the historical period was evaluated. Results revealed that: (1) The corrected CMIP6 models could simulate the changes in extreme precipitation indices over the Qilian Mountains in the historical period relatively well, and the corrected CESM2 displayed better simulation as compared to the other two CMIP6 models. The CMIP6 models performed well while simulating R10mm (CC is higher than 0.71) and PRCPTOT (CC is higher than 0.84). (2) The changes in the eight extreme precipitation indices were greater with the enhancement of the SSP scenario. The growth rate of precipitation in the Qilian Mountains during the 21st century under SSP585 is significantly higher than the other two SSP scenarios. The increment of precipitation in the Qilian Mountains mainly comes from the increase in heavy precipitation. (3) The Qilian Mountains will become wetter in the 21st century, especially in the central and eastern regions. The largest increase in precipitation intensity will be observed in the western Qilian Mountains. Additionally, total precipitation will also increase in the middle and end of the 21st century under SSP585. Furthermore, the precipitation increment of the Qilian Mountains will increase with the altitude in the middle and end of the 21st century. This study aims to provide a reference for the changes in extreme precipitation events, glacier mass balance, and water resources in the Qilian Mountains during the 21st century.
Analysis and Applicability Comparison of Single Current Regulator Methods of PMSM Under Square-Wave Mode

Single current regulator (SCR) control is a popular flux-weakening control for permanent magnet synchronous motor (PMSM), which can maintain the output voltage amplitude constant at the maximum value (suitable for square-wave mode), while providing well dynamic performance. Currently, four kinds of SCR control have been proposed separately from different views. The principle of SCR control is summarized from a novel view in this article. Based on that, another two SCR methods are derived naturally, which is single q-axis current regulator-regulates d-axis and q-axis voltage(SQCR-RDV and SQCR-RQV) methods respectively. More than that, the issue of current regulator structure is discussed in detail. Small signal analysis is adopted to test the system stability while the proper and improper regulators are applied. The influence of the unstable operation is also analyzed by the current locus. Then, appropriate SCR methods are recommended for finite and infinite speed PMSM. The analyses are verified by simulation and experimental results.
Models of Congenital Adrenal Hyperplasia for Gene Therapies Testing

The adrenal glands are important endocrine organs that play a major role in the stress response. Some adrenal glands abnormalities are treated with hormone replacement therapy, which does not address physiological requirements. Modern technologies make it possible to develop gene therapy drugs that can completely cure diseases caused by mutations in specific genes. Congenital adrenal hyperplasia (CAH) is an example of such a potentially treatable monogenic disease. CAH is an autosomal recessive inherited disease with an overall incidence of 1:9500–1:20,000 newborns. To date, there are several promising drugs for CAH gene therapy. At the same time, it remains unclear how new approaches can be tested, as there are no models for this disease. The present review focuses on modern models for inherited adrenal gland insufficiency and their detailed characterization. In addition, the advantages and disadvantages of various pathological models are discussed, and ways of further development are suggested.
Evolution and Progress of mRNA Vaccines in the Treatment of Melanoma: Future Prospects

mRNA vaccines encoding tumor antigens may be able to sensitize the immune system of the host against cancer cells, enhancing antigen presentation and immune response. Since the breakout of the COVID19 pandemic, interest in mRNA vaccines has been accelerating, as vaccination against the virus served as a measure to limit disease spread. Given that immunotherapy has been the cornerstone of melanoma treatment over the last several decades, further innate immunity enhancement by targeted mRNA vaccines could be the next pivotal achievement in melanoma treatment. Preclinical data coming from murine cancer models have already provided evidence of mRNA vaccines’ ability to induce host immune responses against cancer. Moreover, specific immune responses have been observed in melanoma patients receiving mRNA vaccines, while the recent KEYNOTE-942 trial may establish the incorporation of the mRNA-4157/V940 vaccine into the melanoma treatment algorithm, in combination with immune checkpoint inhibition. As the existing data are further tested and reviewed, investigators are already gaining enthusiasm about this novel, promising pathway in cancer therapy.
Lace Up and Mindfulness: A Randomized Controlled Trial Intervention to Reduce Emotional Eating, Anxiety, and Sleep Disturbances in Latinx and Black Youth

This study assessed the effects of a 12-week afterschool mindfulness-based diet and exercise intervention on mental and physical health in Latinx and Black youth. One hundred forty-eight boys and girls (average age = 10.1 years, SD = 1.3 years; 52% girls; 72.3% Latinx) were randomized to either the experimental group (n = 80) or the control group (n = 68). The experimental group participants engaged in fitness yoga, kickboxing, and/or spinning sessions, and mindfulness practices (e.g., breathing, meditation, and mindful eating) twice per week for 12 weeks. The control group participants engaged in a recreational play session once per week for 12 weeks. All participants completed surveys (demographics, acculturation, anxiety, emotional eating, sleep, and food intake) and had their height, weight, and percent body fat measured pre- and post-intervention. Participants wore an accelerometer for 7 days pre- and post-intervention. Repeated measures analysis of covariance indicated that the experimental group participants reported lower scores in emotional eating, anxiety, and sleep latency post-intervention compared to the control group participants. Conversely, no significant differences were observed in physical activity between the experimental and control group participants post-intervention. These findings indicate that a mindfulness-based intervention has a positive effect on emotional eating, anxiety, and sleep latency among youth of color.
Using a cloud‐resolving model to study the effects of subgrid‐scale variations in relative humidity on direct sulphate‐aerosol forcing

Cloud‐resolving model simulations over a tropical ocean and a mid‐latitude continental region have been used to investigate the influence of subgrid‐scale variations of relative humidity on the direct radiative forcing of sulphate aerosols. Offline radiation calculations based on output from a cloud‐resolving model, with and without sulphate aerosol included, are used to calculate the direct radiative forcing of the aerosol. This forcing is compared with results from single‐column radiation calculations typical of those produced by a climate model.
Tuning electrical properties of conjugated polymer nanowires with the diameter

The role of the nanowire diameter on the electrical properties of isolated poly(3,4-ethylenedioxythiophene) nanowires has been studied systematically by a four-terminal technique. A transition from an insulating to a metallic regime is observed when the diameter decreases from 190to35nm and a transition from a metallic to an insulating regime takes place for the smaller diameters. These results are of importance for the different potential applications based on polymer nanowires or nanotubes.
Backstepping-based Tracking Control for a Coaxial Rotor UAV

This paper takes a coaxial rotor Unmanned Aerial Vehicle (UAV) as the research object, the problem of controlling the position and orientation of this UAV is solved. The nonlinear mathematical model of the coaxial rotor UAV is novelty present and a hierarchical controller is adopted to solve this problem. The controller includes the attitude controller of inner loop and the position controller of outer loop, which are both adopting backstepping control technique to track the reference position. Numerical simulations present that the coaxial rotor UAV can perfectly track the predefined trajectory, which demonstrates the good performance of the designed control strategy.
Near-Infrared Observations of the Giant H II Region W49A: A Star Birth Cluster

W49A is one of the most luminous giant H II regions in our Galaxy. This star-forming complex contains numerous compact and ultracompact (UC) H II regions, extending over an area of ≈15 pc. It emits about 1051 Lyman continuum photons s-1, equivalent to the presence of about 100 O stars, but it is completely obscured in optical wavelengths by intervening interstellar dust. The center holds a "cluster" of about 30 O stars, each within an individual UC H II region emitting free-free emission at centimeter wavelengths. Our deep K-band (2.2 μm) image toward the W49A cluster reveals just two of the individual exciting stars, each associated with a pointlike radio source, but the rest are invisible. These O stars are so recently born as to not yet have emerged from their natal dust cocoons, in contrast to other Galactic clusters embedded in giant H II regions, in which many of the individual massive stars are already revealed. Plausibility arguments are made that suggest that a stellar disc might be common during the entire UC H II phase of massive star birth, since it persists after accretion ceases in some stars. Nebular emission, e.g., from Brγ, is visible around the periphery of the central region of W49A, along with candidate exciting stars. Star formation there may have preceded that in the center, or its lower density environment may have speeded up the dispersal of the natal dust cocoons. The W49A cluster can serve as a template for the more luminous buried star clusters now being found in normal galaxies and starbursts.
Eleventh-Graders Perceptions of Learning Speaking with Drama Activities: A Case Study

- Drama activities with the nature of creativity and imagination can bring the learning environment within four walls of classroom out into life-like contexts, thus enhancing language learners’ communicative competence. After drama activities had been applied to three speaking classes at one public high school in Vietnam with the convenience sample of 125 eleventh-grade students, the researcher carried out a survey to examine how these participants perceived the benefits and difficulties of learning speaking with drama-based lessons. Based on the questionnaire results, the study indicated that most of the students felt interested and enthusiastic in drama activities, especially role-play and improvisation; besides, they also realized the positive effects of these activities on their speaking ability, pronunciation, fluency, self-confidence, and creativity. Yet, shyness, immature language input, limited time, L1 use were main problems of doing drama activities in the speaking classrooms perceived by the students. The paper was concluded with some practical recommendations.
Spring 2003 CE 200: Engineering Data Analysis

Instructor: Henri Gavin, 122 Hudson Hall, Henri.Gavin@Duke.edu Class Time: Tu, Th, 12:40–1:55, Room 115A Hudson, ACES Call # 13335 Office Hours: We 1:30 – 2:30 and by appointment Textbooks: • Bendat, Julius S. , and Piersol, Allan G. , Random Data: Analysis and Measurement Procedures, 2nd ed., Wiley-Interscience, 1986. • Press, W.H. , Teukolsky, S.A. , Vetterline, W.T. , and Flannery, B.P., Numerical Recipes in C: The Art of Scientific Computing, 2nd ed., Cambridge University Press, 1992. (also, http://www.nr.com/) T.A. : Cenk Alhan, 053 Engineering Annex, Cenk.Alhan@Duke.edu Website: http://www.duke. edu/~hpgavin/ce200/ Prerequisite: Graduate standing or permission of instructor. Computers: Many assignments will require computations using Matlab. Students are responsible for familiarizing themselves with Matlab. Grading: Homeworks(6) 30%; Exams(2): 30%; Final Project(1): 30%; Presentation: 10%