Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-145 Alleviates Smooth Muscle Cell Phenotype Transition via ADAM17-Mediated ACE2 Shedding

It has been shown that miR-145 is involved in the differentiation of vascular smooth muscle cells (VSMCs) and may regulate vascular remodeling. However, the molecular mechanisms behind these pathological processes in hypertension are not fully elucidated. The present study was to examine whether miR-145 modulates phenotypic transformation of VSMCs under normal state and synthetic state and to explore the possible role of ADAM17-mediated ACE2 shedding and ACE2-Ang-(1–7)-Mas receptor axis. Wistar rats were fed with high-sucrose/high-fat diet for 30 weeks to establish a metabolic hypertension animal model. VSMCs were cultured and treated with Ang II with or without miR-145 mimics or miR-145 inhibitor. Results showed the expression of contractile markers α-SMA and SM22α, miR-145, ACE2, and Mas receptor reduced in the thoracic aorta of metabolic hypertensive rats (MHRs), while that of synthetic marker OPN increased as compared to the control group. In in vitro study, miR-145 inhibitor inhibited the expression of α-SMA, SM22α, ACE2, Mas receptor, and the Ang-(1–7) excretion and induced the expression of synthetic markers OPN, EREG, and MMP2. However, miR-145 mimic produced opposite effects on the VSMCs. In addition, in the synthetic VSMC induced by Ang II, miR-145 inhibitor partially reversed the induced expression of OPN, EREG, and MMP2 by Ang II, while further decreasing the expression of α-SMA and SM22α and ACE2-Ang-(1–7)-Mas receptor. Cotreatment with ADAM17 siRNA partially reversed the inducible effect of miR-145 inhibitor on the EREG and MMP2, induced Ang-(1–7) excretion, and upregulated ACE2 and Mas receptor expression. In conclusion, miR-145 alleviates phenotype transition from contractile to synthetic type via ADAM17-mediated ACE2 shedding in VSMCs and retains the activation of ACE2-Ang-(1–7)-Mas axis, which may benefit the vascular structural remodeling in the metabolic hypertension.
Revisiting the Origins of the Power‐Law Analysis for the Assessment of Concentration‐Discharge Relationships

Concentration‐discharge (C‐Q) relationships are frequently used to understand the controls on material export from watersheds. These analyses often use a log‐log power‐law function (C = aQb) to determine the relationship between C and Q. Use of the power‐law in C‐Q analyses dates to two seminal papers by Francis Hall (1970, https://doi.org/10.1029/WR006i003p00845) and Francis Hall (1971, https://doi.org/10.1029/WR007i003p00591), where he compared six increasingly complex hydrological models, concluding the power‐law had the greatest explanatory power. Hall's analyses and conclusions, however, were based on a limited data set, with assumptions regarding water volume and storage, and used simple model selection criteria. While the power‐law is applied widely, it has not been rigorously tested and evaluated in over 50 years. We reexamined Hall's original models across time scales using 8 years of high‐frequency and weekly specific conductance data and evaluated model performance using more sophisticated model selection criteria. While we found the power‐law analysis remains one of the best performing models, other models performed equally as well including the log‐linear functional form. Model performance was similar at the sub‐daily to weekly scale but varied with sampling method. More complex models performed poorly relative to simpler models and tended to underpredict concentration at flow extremes due to constraints in fitting model parameters to the observed data. While we conclude, based on the data analyzed here, that the power‐law remains a suitable model for C‐Q analyses, opportunities exist to refine and differentiate among C‐Q models based on underlying assumptions of data distribution, recession analyses, and for applying models to reactive solutes.
Silicon-on-insulator-based polarization-independent 1×3 broadband beam splitter with adiabatic coupling

We propose and numerically simulate a polarization-independent 1×3 broadband beam splitter based on silicon-on-insulator (SOI) technology with adiabatic coupling. The designed structure is simulated by beam-propagation-method (BPM) and gets simulated transmission uniformity of three outputs better than 0.3dB for TE-polarization and 0.8dB for TM-polarization in a broadband of 180nm.
Rat robot motion state identification based on a wearable inertial sensor

Rat robots have great potential in rescue and search tasks because of their excellent motion ability. However, most of the current rat-robot systems relay on human guidance due to variable voluntary motor behaviour of rats, which limits their application. In this study, we developed a real-time system to detect a rat robot’s transient motion states, as the prerequisite for further study of automatic navigation. We built the detection model by using a wearable inertial sensor to capture acceleration and angular velocity data during the control of a rat robot. Various machine learning algorithms, including Decision Trees, Random Forests, Logistic Regression, and Support Vector Machines, were employed to perform the classiﬁcation of motion states. This detection system was tested in manual navigation experiments, with detection accuracy achieving 96.70%. The sequence of transient motion states could be further used as a promising reference for oﬄine behaviour analysis.
M/F Changes after T-loop Upper Horizontal Bending in Segmented Arch Mechanics

Las ansas tipo T de bTi son una alternativa eficiente para el cierre de espacios de extraccion. Cambios en la porcion horizontal de las ansas tipo T se han propuesto para mejorar su comportamiento mecanico, pero sus diferencias con relacion a las caracteristicas biomecanicas no han sido bien descritas. Este estudio analizo las diferencias biomecanicas entre tres ansas tipo T con dobleces diferenciales en su porcion horizontal superior. Noventa ansas (0,017"x0,025" bTi) fueron dobladas y divididas en tres grupos aleatoriamente, de acuerdo a la forma de su porcion horizontal superior (ansas en T recta, M convexa, y C concava), para evaluar caracteristicas de fuerza hasta 6 mm de activacion. Rigidez, cargas horizontales maximas, momentos totales del ansa, y razones momento-fuerza fueron obtenidas. Analisis estadisticos no parametricos se utilizaron para comprobar diferencias entre los grupos. Las ansas en M demostraron una menor fuerza que las ansas en T y C, y momentos totales del ansa mas altos que las ansas en T. Se obtuvo un incremento significativo en la razon momento-fuerza de las ansas en M comparado con las ansas en T o en C. Las ansas en C y T no demostraron diferencias significativas en la razon momento-fuerza entre si. El doblez convexo superior en las ansas en M produjo un momento del ansa total incrementado comparado con las ansas en T. Las ansas en M mostraron valores de momento-fuerza ligeramente mas altos que los valores para translacion, mientras que las otras ansas solo reportaron valores para inclinacion controlada a 6 mm de activacion. Las ansas en M son ideales cuando un control alto de movimiento radicular esta indicado desde en comienzo de la retraccion dental en mecanicas de arco segmentado.
THE ROLE OF ONLINE CUSTOMER REVIEWS IN INCREASING IMPULSIVE PURCHASE OF FASHION PRODUCTS ONLINE WITH CUSTOMER TRUST AS A MEDIATOR

This study purposes to analyze online consumer reviews on impulsive purchases, and with customer trust as a mediating variable. This research was conducted in 2022. The population was consumers who have experiences in shopping online through social media or other online shopping applications in Indonesia. The sample of this research was 400 respondents. Data analysis techniques used the Structural Equation Model (SEM). The data were primary data. Data collection applied a questionnaire. The results of the research conclude three findings: First, online consumer reviews have a significant effect on trust. This means that the more consumers read online consumer reviews, the higher the consumer's trust in the product and the online seller. Second, trust has a significant effect on impulsive buying decisions meaning that the higher the level of consumer confidence in a product, the higher the probability that consumers will buy the product. Third, online consumer reviews have a significant effect on impulsive purchases with trust as a mediator. This indicates that the more consumers read online consumer reviews, the higher the possibility of impulsive purchases, supported by the existence of trust which greatly influences the variables between the two, between online consumer reviews on trust and trust on impulsive purchases.
Negative frequency dependent selection unites ecology and evolution

Abstract From genes to communities, understanding how diversity is maintained remains a fundamental question in biology. One challenging to identify, yet potentially ubiquitous, mechanism for the maintenance of diversity is negative frequency dependent selection (NFDS), which occurs when entities (e.g., genotypes, life history strategies, species) experience a per capita reduction in fitness with increases in relative abundance. Because NFDS allows rare entities to increase in frequency while preventing abundant entities from excluding others, we posit that negative frequency dependent selection plays a central role in the maintenance of diversity. In this review, we relate NFDS to coexistence, identify mechanisms of NFDS (e.g., mutualism, predation, parasitism), review strategies for identifying NFDS, and distinguish NFDS from other mechanisms of coexistence (e.g., storage effects, fluctuating selection). We also emphasize that NFDS is a key place where ecology and evolution intersect. Specifically, there are many examples of frequency dependent processes in ecology, but fewer cases that link this process to selection. Similarly, there are many examples of selection in evolution, but fewer cases that link changes in trait values to negative frequency dependence. Bridging these two well‐developed fields of ecology and evolution will allow for mechanistic insights into the maintenance of diversity at multiple levels.
Electroweak phase transition in theories beyond the Standard Model

Non-perturbative analysis provides the most accurate information about the properties of the electroweak phase transition in the Standard Model of particle physics. In this thesis, we initiate similar non-perturbative studies for three theories of physics beyond the Standard Model. Properties of the phase transition are important for both obtaining reliable predictions for potential gravitational wave background produced by this phase transition, and for viability of electroweak baryogenesis, that attempts to solve the problem of observed matter/antimatter asymmetry of the universe. In particular, we study three models with an extended Higgs sector: the Two-Higgs-Doublet Model, the real singlet and the real triplet extensions of the Standard Model. In all these models we have derived three-dimensional effective theories by using a method of high temperature dimensional reduction. The main result of this thesis is a set of dimensional reduction matching relations between parameters of effective theories and physical quantities in the aforementioned extensions of the Standard Model. In certain regions of parameter space for each model, we are able to perform a non-perturbative analysis simply by recycling lattice results obtained in the past. For a full analysis, new simulations are required, which goes beyond the scope of this thesis. In this thesis, we provide a brief introduction to the electroweak phase transition and electroweak baryogenesis. We then discuss both perturbative and non-perturbative approaches to the problem in greater detail. Finally, we summarise and discuss the results obtained so far, and outline future directions for research.
A triple‐band highly miniaturized antenna for WiMAX/WLAN applications

A novel highly miniaturized triple band antenna for WiMAX and WLAN applications is presented in this letter. The proposed design has an active patch area of only 108 mm2 (9 × 12 mm2), and operates at 2.5 (lower WiMAX), 3.47 (middle WiMAX) and 5.75 GHz (WLAN), respectively. Miniaturization in the proposed design is accomplished by etching 2 novel cascaded E‐type unit cell defected ground structure in conjunction with the F‐shaped slot, and multiband operations are achieved by etching U and H‐type slots in the radiating monopole. The miniaturization process leads to the reduction of about 82.4% and 73.5% in the active patch area and volume of the proposed antenna respectively, as compared with the conventional designed triple band antenna. The antenna has a compact volume of 0.15 λ0 × 0.15 λ0 × 0.01 λ0 at a lower resonance of 2.6 GHz. The proposed structure has S11<–10 dB bandwidth of about 6.45% (2.55–2.72 GHz), 3.03% (3.25–3.35 GHz) and 5.9% (5.75–6.1 GHz) in simulation, and about 4.2% (2.51–2.62 GHz), 2.31% (3.42–3.50 GHz), and 4.81% (5.68–5.96 GHz) under measurement, respectively. Stable radiation characteristics and good impedance matching are observed across the operational bandwidth of the proposed design.
Kiribati Game Development: Cultural Transmission, Communities of Creation, and Marketing

The people of Kiribati play a broad assortment of card and board games. The game rules show several innovations that were made outside the purview of the games’ manufacturers. The presence and regional development of proprietary board games illustrates product development scenarios that are counterintuitive to marketers. Using game boards and game rules collected in Kiribati, this study offers an explanation on how game development in Micronesia can be understood using cultural transmission theory by locating the Republic of Kiribati both geographically and economically within the Pacific Islands economies and their communities and within their own anthropological context. The findings emphasize the importance of understanding regional and country-specific cultural practices when applying principles of product development, placement and distribution.
A Fuzzy Co-Clustering Algorithm via Modularity Maximization

In this paper we propose a fuzzy co-clustering algorithm via modularity maximization, named MMFCC. In its objective function, we use the modularity measure as the criterion for co-clustering object-feature matrices. After converting into a constrained optimization problem, it is solved by an iterative alternative optimization procedure via modularity maximization. This algorithm offers some advantages such as directly producing a block diagonal matrix and interpretable description of resulting co-clusters, automatically determining the appropriate number of final co-clusters. The experimental studies on several benchmark datasets demonstrate that this algorithm can yield higher quality co-clusters than such competitors as some fuzzy co-clustering algorithms and crisp block-diagonal co-clustering algorithms, in terms of accuracy.
Nonlinear Lyapunov-based control of a misaligned heteropolar magnetic bearing system

ABSTRACT The dynamic behavior of an active magnetic bearing (AMB) mounted rotor was investigated through an analytical study conducted as part of this research work. A biased AMB model was developed, in which six electromagnets were supplied with a bias current I0 , and their respective control currents. The magnetic load was obtained through a differentiated driving mode based on the virtual displacement principle. Motion equations were formulated, and simulations were performed to investigate the dynamic response of the misaligned AMB mounted on a high-speed rotor, considering rigid body motion, elastic motion, gyroscopic effect, shear deformation effect, and internal damping. Subsequently, a nonlinear novel direct Lyapunov-based controller derived from an energetic approach was applied and compared to an optimal regulator based on Hamilton-Jacobi-Bellman (HJB) equations. The Linear Quadratic Riccati (LQR) method required less energy, as expected, but the Lyapunov method was more efficient and demonstrated its ability to asymptotically control the plant instability as well as the misalignment effect. Finally, the method was applied to a milling machine spindle, and the controller was still able not only to handle the cutting forces generating disturbances but also to overcome the defect effect without any oscillation.
Family medicine residents’ perspectives on different teaching modalities used throughout their training

Background: New teaching modalities have emerged throughout the years to help enhance residency training programs. Studies have shown that when establishing a new teaching modality, it is crucial to consider the trainee's perception and feedback as trainee-centered teaching techniques aim to enhance the students' motivations and problem-solving skills. The aim of this study is to discover residents' perceptions of different teaching modalities used through their training programs and to recognize which teaching modality is preferable to residents among the family medicine residents in Riyadh, Saudi Arabia. Methodology: A cross-sectional study was conducted between April 2021 and April 2022 that included all family medicine residents in the Saudi Board Family Medicine Training Program at Prince Sultan Military Medical City (PSMMC) in Riyadh, Kingdom of Saudi Arabia. An online questionnaire included two main parts. The first part collected demographic information. The second part concerned residents' opinions regarding different teaching modalities used throughout their training and factors leading to better learning outcomes. Results: The survey was completed by 60 family medicine residents. Half of the respondents perceived weekly academic day activities [WADA] as the most important teaching style (53.3%), followed by self-directed learning [SDL] (40%), while learning management system [LMS] was not ranked as the top choice by any of the respondents. Conclusion: These findings can be applied to the improvement of family medicine training programs. Understanding the perceptions of different teaching modalities can help enhance training programs to help future family medicine practitioners.
Reconfigurable Metasurface Cloak for Dynamical Electromagnetic Illusions

Considerable attentions have been focused on the realization of carpet cloaks in the past decade. Most of the current carpet cloaks can perform only one electromagnetic (EM) shape for concealing inside objects, and dynamical control of arbitrary EM virtual shapes remains a significant challenge. Here, a desirable method is proposed to construct a reconfigurable carpet cloak using tunable metasurface technology. By controlling the active elements loaded on the metasurface, the surface phase distribution can be dynamically changed to make the cloak generate the predesigned scattering field. This reconfigurable metasurface cloak is experimentally realized at the microwave frequency, which demonstrates that it can not only reduce unwanted scattering for imitating the reflection of a flat metallic plane, but also mimic other different EM virtual shapes by reconfiguring the phase distribution. To the best of our knowledge, this is the first carpet cloak that achieves dynamical illusions by switching the EM shap.
Application of nanoparticles in modified polybenzimidazole-based high temperature proton exchange membranes

Polymeric proton exchange membranes (PEMs) are vital components of fuel cells, as they enable the transport of protons while preventing the crossover of fuel and oxidant gases. However, conventional PEMs have limitations such as low use temperature, low proton conductivity, and poor mechanical and thermal stability. Various types of nanoparticles have been investigated to modify PEMs to overcome these limitations, as they can increase proton conductivity, mechanical strength, thermal stability, and chemical resistance. Metal oxides such as SiO2 and TiO2 have been shown to improve the proton conductivity and mechanical properties of PEMs. Carbon-based materials such as graphene oxide have been found to enhance both the proton conductivity and thermal stability of PEMs. The use of nanoparticles in modified polymeric PEMs for fuel cells shows excellent potential for improving the performance and durability of fuel cells. Future research should focus on developing cost-effective and scalable methods for nanoparticle synthesis and incorporation into PEMs. Polybenzimidazole (PBI) is the most widely studied high-temperature polymer for preparing composite PEMs. This review provides the recent development of PBI composite PEMs modified with different types of nanoparticles.
Taboo Words Analysis in Fast and Furious 8 Movie by F. Gary Gray

This study analyzes the taboo words in Fast and Furious 8 movie by F. Gary Gray. Taboo words occur not only in everyday life but also in the movie. This study aims to investigate the types of taboo words using the theory of Jay (1992) and the functions of taboo words using Wardhaugh's theory (2006). This study employed a descriptive qualitative as a research method. The result of this study shows there are seven types of taboo words, namely cursing 17 data, profanity 9 data, obscenity 1 data, epithet 15 data, vulgarity 14 data, insult and slur 7 data, and scatology 6 data. Then, there are four functions of taboo words, namely to draw attention 42 data, to show contempt 16 data, to be provocative 10 data, and to mock authority 1 data. Based on the analysis results, the word hell appears to be the second most taboo word used in this movie and has become the most dominant type of taboo word, namely cursing. This is because they use cursing to express their feelings, such as anger, annoyance, or shock, and to emphasize something in an utterance. Furthermore, all the words hell in this movie have the function as to draw attention. To draw attention appears as the most dominant function in Fast and Furious 8 movie because it can represent the character's intention of using taboo words.
Comparison of maximum likelihood approach, Diggle–Kenward selection model, pattern mixture model with MAR and MNAR dropout data

Abstract In longitudinal studies, missing data are ubiquitous. This article made a comparison of three model-based techniques for handling different types of missing data (i.e., missing at random (MAR)-based maximum likelihood (ML) approach, missing not at random (MNAR)-based Diggle–Kenward (DK) selection model and MNAR-based pattern mixture (PM) model) in longitudinal studies through a Monte Carlo simulation study. Two influential factors were considered: the dropout rates (5%, 10%, 20%, and 40%) and the sample sizes (100, 300, 500, and 1000) under MAR and MNAR missingness mechanisms respectively. The results indicated that the model selection was a crucial issue when researchers were dealing with missing data in longitudinal studies because under MNAR mechanism, DK method outperformed MAR-based ML approach, but PM method performed worse than MAR-based method did. The differences of the parameter estimation among three methods became more significant as the sample size and the dropout rate increased.
APPLICATION OF GIS BASED MODEL IN LANDFILL SITE SELECTION: A CASE STUDY OF LAHORE, PAKISTAN

Open dumping sites for solid wastes in Asian developing countries, including Pakistan, have recently received particular attention in terms of environmental pollution problems. In the Lahore District, Mehmood Booti is the only authorized open dumping site developed by city district government which is now unable to fulfill district’s requirement. Therefore the data was collected to propose a new landfill site in Lahore district, Pakistan. These data sets involved the processing of spatial information that was utilized in GIS environment using Boolean Operation as a tool for land suitability analysis. In order to achieve desired results, five input raster layers; including water bodies, roads, important places, existing dumping site and tube well were prepared. After omission of unsuitable areas, the suitability analysis of the residue areas was accomplished.