Miracle-dz/UniFAR-FTUs huggingface dataset:
Wide binaries demonstrate the consistency of rotational evolution between open cluster and field stars

Gyrochronology enables the derivation of ages of late-type main sequence stars based on their rotation periods and a mass proxy, such as color. It has been explored in open clusters, but a connection to field stars has yet to be successfully established. We explore the rotation rates of wide binaries, representing enlightening intermediaries between clusters and field stars, and their overlap with those of open cluster stars. We investigated a recently created catalog of wide binaries, matched the cataloged binaries to observations by the Kepler mission (and its K2 extension), validated or re-derived their rotation periods, identified 283 systems where both stars are on the main sequence and have vetted rotation periods, and compared the systems with open cluster data. We find that the vast majority of these wide binaries (236) line up directly along the curvilinear ribs defined by open clusters in color-period diagrams or along the equivalent interstitial gaps between successive open clusters. The parallelism in shape is remarkable. Twelve additional systems are clearly rotationally older. The deviant systems, a minority, are mostly demonstrably hierarchical. Furthermore, the position of the evolved component in the color-magnitude diagram for the additional wide binary systems that contain one is consistent with the main sequence component's rotational age. We conclude that wide binaries, despite their diversity, follow the same spindown relationship as observed in open clusters, and we find that rotation-based age estimates yield the same ages for both components in a wide binary. This suggests that cluster and field stars spin down in the same way and that gyrochronology can be applied to field stars to determine their ages, provided that they are sufficiently distant from any companions to be considered effectively single.
RF-SOI Low-Noise Amplifier Using RC Feedback and Series Inductive-Peaking Techniques for 5G New Radio Application

This paper presents a low-noise amplifier (LNA) with an integrated input and output matching network designed using RF-SOI technology. This LNA was designed with a resistive feedback topology and an inductive peaking technology to provide 600 MHz of bandwidth in the N79 band (4.4 GHz to 5.0 GHz). Generally, the resistive feedback structure used in broadband applications allows the input and output impedance to be made to satisfy the broadband conditions through low-impedance feedback. However, feedback impedance for excessive broadband characteristics can degrade the noise performance as a consequence. To achieve a better noise performance for a bandwidth of 600 MHz, the paper provided an optimized noise performance by selecting the feedback resistor value optimized for the N79 band. Additionally, an inductive peaking technique was applied to the designed low-noise amplifier to achieve a better optimized output matching network. The designed low-noise amplifier simulated a gain of 20.68 dB and 19.94 dB from 4.4 to 5.0 GHz, with noise figures of 1.57 dB and 1.73 dB, respectively. The input and output matching networks were also integrated, and the power consumption was designed to be 9.95 mA at a supply voltage of 1.2 V.
Modelo de predicción de deserción: Un estudio de caso de estudiantes de la Universidad Politécnica Estatal del Carchi

Introducción: La tasa de abandono estudiantil en las instituciones de educación superior es un problema global que requiere soluciones personalizadas y adaptadas a cada institución. El presente artículo se realiza en la Universidad Politécnica Estatal del Carchi (UPEC) en Ecuador. Objetivo: Identificar los factores determinantes del abandono universitario mediante un modelo logístico que permita predecir si un estudiante puede abandonar la universidad de manera prematura. Métodos: Como técnica de modelado estadístico multivariante se utiliza un modelo de regresión logística LR. La muestra de estudiantes corresponde a 3821 registros de matrículas en la UPEC. Resultados: Los resultados evidencian que el modelo logístico propuesto presenta una precisión del 90%. Además, se identificó una relación inversa entre la deserción estudiantil, el número de miembros en el hogar y el nivel educativo del padre y la madre; por lo que se evidencia la necesidad de instaurar medidas de apoyo y prevención específicas para los estudiantes de hogares con menores niveles educativos y mayores cargas familiares. Conclusiones: El abandono estudiantil en la UPEC ocurre principalmente durante el primer nivel de carrera, determinando además que los factores relevantes que influyen en la deserción estudiantil en esta universidad son: la edad, el número de miembros en el hogar, el nivel de estudio y el promedio académico. Esta información permitirá a las autoridades universitarias plantear medidas preventivas para mejorar la permanencia y el éxito académico de sus estudiantes.
searches in gluon fusion at the LHC

WW/ZZ interference for Higgs signal and continuum background as well as signal-background interference is studied for same-flavour l¯ νl ¯l final states produced in gluon-gluon scattering at the LHC for light and heavy Higgs masses with minimal and real- istic experimental selection cuts. For the signal cross section, we find WW/ZZ interference effects of O(5%) at MH = 126GeV. For MH � 200GeV, we find that WW/ZZ interference is negligible. For the gg continuum background, we also find that WW/ZZ interference is negligible. As general rule, we conclude that non-negligible WW/ZZ interference effects occur only if at least one weak boson of the pair is dominantly off-shell due to kinematic constraints. The subdominant weak boson pair contribution induces a correction to the signal-background interference, which is at the few percentage point level before search selection cuts. Optimised selection cuts for MH & 600GeV are suggested.
Function in Cancer Patients: Disease and Clinical Determinants

Simple Summary Day-to-day function in people with a history of cancer is incredibly important. It tells us what symptoms need to be treated, helps providers refer patients for rehabilitation, and helps us understand who is at risk of losing function. Our study looked at over 300 people with many different cancers, from five cancer centers in the United States. We found that people with active brain, sarcoma, prostate, and lymphoma cancers had the lowest function among people who were receiving rehabilitation. When cancer was cured, function was not related to the type of cancer someone had. Also, older people, overweight people, and people with non-cancer issues (like arthritis) had lower function. The results are the first of its kind to be reported and can lead to better decision-making for oncologists referring patients to rehabilitation care. Abstract Patients with cancer often experience changes in function during and after treatment but it is not clear what cancer types, and associated clinical factors, affect function. This study evaluated patient-reported functional impairments between specific cancer types and risk factors related to disease status and non-cancer factors. A cross-sectional study evaluating 332 individuals referred to cancer rehabilitation clinics was performed at six U.S. hospitals. The PROMIS Cancer Function Brief 3D Profile was used to assess functional outcomes across the domains of physical function, fatigue, and social participation. Multivariable modeling showed an interaction between cancer type and cancer status on the physical function and social participation scales. Subset analyses in the active cancer group showed an effect by cancer type for physical function (p < 0.001) and social participation (p = 0.008), but no effect was found within the non-active cancer subset analyses. Brain, sarcoma, prostate, and lymphoma were the cancers associated with lower function when disease was active. Premorbid neurologic or musculoskeletal impairments were found to be predictors of lower physical function and social participation in those with non-active cancer; cancer type did not predict low function in patients with no evidence of disease. There was no differential effect of cancer type on fatigue, but increased fatigue was significantly associated with lower age (0.027), increased body mass index (p < 0.001), premorbid musculoskeletal impairment (p < 0.015), and active cancer status (p < 0.001). Anticipatory guidance and education on the common impairments observed with specific cancer types and during specific stages of cancer care may help improve/support patients and their caregivers as they receive impairment-driven cancer rehabilitation care.
The genome sequence of the Velvet Shank, Flammulina velutipes (Curtis) Singer, 1951

We present a genome assembly from a specimen of Flammulina velutipes (the Velvet Shank; Basidiomycota; Agaricomycetes; Agaricales; Physalacriaceae). The genome sequence is 37.4 megabases in span. Most of the assembly is scaffolded into 12 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 79.6 kilobases in length.
An Object-based Modified Conditional Random Field for Landslide Mapping Using GaoFen-1 Image

Landslide mapping is an important part of landslide research for natural hazard analysis. A lot of studies have been made for object-based image analysis of landslide mapping, with increasing resolution of satellite image in recent years. However, the propagation of mis-classification from super or adjacent objects limits the improvement of landslide mapping accuracy. In this paper, we present a new object-based conditional random field (CRF) combining the context information to perform landslide mapping accurately. The CRF model is built based on the image objects (or segments) graph from object-based classification. And its pairwise potential is constructed by substituting the posterior probability from support vector machine (SVM) classification for the feature vectors. We investigate the potential benefits of using segment graph structure and the modifying potential of the CRF model through experiments conducted on GaoFen-1 (GF-1) satellite image. The results reveal the proposed method has efficient performance of improving landslide mapping accuracy.
Optimisation of End Insulation Design in Power Transformer

The power transformer is an important component in power system that must be highly efficient and reliable in peration. Insulation design in power transformer is one of the important factors for determining reliability and size. It is essential to find a compact optimal design for insulation that satisfies the technical specifications with minimum manufacturing cost. In the transformer insulation design, the top end and bottom end insulation between winding and yoke of a power transformer is one of the important factor determining the total window height of the power transformer; hence optimization in the end will result in reduction in total cost and size of the transformer. In this paper electrostatic finite element analysis of power transformer end insulation is carried out, the cumulative stress distribution for each oil gap is determined and safety margin is evaluated by comparing it with industrial withstand curve. The value of top end and bottom end clearance of winding to yoke is optimised so that the value of window height is minimum and the end insulation design is reliable.
STEM teacher professional development in pre-service teacher education: A literature review

Science, technology, engineering, and mathematics (STEM) education has recently been gaining popularity in a number of countries. This seems to have ramifications for increasing the intensity with which professional development programmes are implemented at both in-service and pre-service teacher levels. The present study provides a systematic literature review on scientific articles published between 2015 and 2021, examining how STEM teacher professional development programmes (STEM-TPD) led in the pre-service teacher corpus. Following a screening process, 66 studies were found to be eligible and in compliance with the review criteria. The review's findings indicate a positive trend in STEM-TPD scientific articles, with an increase in publications from year to year in many countries. The majority of studies were conducted in the United States and Turkey using various research methods. The STEM-TPD programme is carried out in three areas, namely, included in existing courses, conducted outside of lectures, and carried out on newly developed courses. We also ultimately discuss the seven most frequently used elements of STEM-TPD and the types of participant collaboration.
Globalized and bounded Nelder‐Mead algorithm with deterministic restarts for tuning controller parameters: Method and application

This paper develops and examines an optimization algorithm for simulation‐based tuning of controller parameters. The proposed algorithm globalizes the Guin augmented variant of Nelder–Mead's nonlinear downhill simplex by deterministic restarts, linearly growing memory vector, and moving initial simplex. First, the effectiveness of the algorithm is tested using 10 complex and multimodal optimization benchmarks. The algorithm achieves global minima of all benchmarks and compares favorably against the evolutionary, swarm, and other globalized local‐search multimodal optimization algorithms in probability of finding global minimum and numerical cost. Next, the proposed algorithm is applied for tuning sliding mode controller parameters for a servo pneumatic position control application. The experimental results reveal that the system with sliding mode controller parameters tuned using the proposed algorithm targeting smooth position control with maximum possible accuracy, performs as desired and eliminates the need of manual online tuning for desired performance. The results are also compared with the performance of the same servo pneumatic system with parameters tuned using manual online tuning in an earlier published work. The system with controller parameters tuned using the proposed algorithm shows improvement in accuracy by 28.9% in sinusoidal and 42.2% in multiple step polynomials tracking.
The phonology and phonetics of coalescence

In this dissertation, I would like to address a number of questions regarding coalescence, which I define as a process by which two input segments are merged into a single output segment that is distinct in at least one feature from the segments to which it corresponds. Coalescence is a particularly fascinating phenomenon because it exhibits properties found in other phonological processes, such as assimilation and deletion, as well as in phonetic coarticulation. Thus, coalescence is a casestudy in the investigation of the interface between phonology and phonetics. In this regard, I would like to adduce evidence from phonological analysis of coalescence in Optimality Theory (Prince & Smolensky 1993/2004), as well as from experimental work on the acoustics and perception of coalescence. The primary phonological question I would like to pursue in this thesis is whether coalescence best explained in a derivation with a unique fusion operation, or whether it is reducible to a derivation with a combination of other independently-known processes. More specifically, should coalescence be reduced to a special case of assimilation, deletion, or feature stability phenomena? To make this theoretical work general, I would like to construct and compare OT analyses of coalescence as a kind of assimilation, a kind of deletion, as an instance of feature stability, and as fusion under two different architectural assumptions about the grammar: (i) that the candidate set is generated in parallel; (ii) that the candidate set is generated serially. This distinction, explained below, has recently been shown to make important differences in the empirical coverage of OT, and thus it seems a good understanding of the phonological status of coalescence must identify any dependencies upon these architectural assumptions about the grammar. The phonetic research program to coalescence seeks to explore possible acoustic cues to coalesced segments and to then see if these properties are perceptible. This line of attack is likely to shed light on universal generalizations about the occurence and output of coalescence and to clairfy the relationship between coalescence and coarticulation. Thus, it is envisioned that the combination of results from these two programs will motivate an understanding of coalescence as partly phonological and partly phonetic in nature. In addition, it is hoped that the results of perception experiments using coalescence will help to further articulate the architecture of OT models of pro-
Effect of Vitamin D Supplementation on the Hemoglobin Level in Chronic Kidney Disease Patients on Hemodialysis: A Systematic Review and Meta-Analysis

The objective of this study was to evaluate the impact of vitamin D supplementation on hemoglobin levels (Hb) in patients with chronic kidney disease (CKD) undergoing hemodialysis. A systematic search was conducted in electronic databases (PubMed/Medline, Cochrane Library, and Google Scholar) from inception to April 21, 2023. Inclusion criteria were applied to select relevant studies. Statistical analyses were performed using Review Manager 5.4. 1. A random-effects model was used to address heterogeneity, and the mean difference (MD) with the corresponding 95% confidence interval (CI) was reported. Ten studies were included in the analysis, comprising seven clinical trials, two randomized clinical trials, and one retrospective observational study. Subgroup analysis was conducted based on the duration of follow-up: 12 weeks, three months, six months, 12 months, 15 months, and 18 months. A significant increase in hemoglobin levels was observed after 12 months (MD = -0.98 [95% CI -1.88, -0.08]; p = 0.03; I2 = 91%) and 18 months (MD = -1.80 [95% CI -2.56, -1.04]; p < 0.00001; I2 = Not applicable). However, there was no statistically significant relationship between vitamin D supplementation and hemoglobin levels at 12 weeks, three months, six months, and 15 months. The pooled analysis demonstrated a significant increase in hemoglobin levels with vitamin D supplementation (MD = -0.61 [95% CI -0.96, -0.26]; p = 0.03; I2 = 60.7%). This analysis highlights the significant role of vitamin D supplementation in improving anemia in patients with CKD undergoing hemodialysis. Vitamin D supplementation was found to significantly increase hemoglobin levels, particularly after 12 months and 18 months of supplementation.
Simulations of linear and Hamming codes using SageMath

Digital data transmission over a noisy channel could distort the message being transmitted. The goal of coding theory is to ensure data integrity, that is, to find out if and where this noise has distorted the message and what the original message was. Data transmission consists of three stages: encoding, transmission, and decoding. Linear and Hamming codes are codes that we discussed in this work, where encoding algorithms are parity check and generator matrix, and decoding algorithms are nearest neighbor and syndrome. We aim to show that we can simulate these processes using SageMath software, which has built-in class of coding theory in general and linear codes in particular. First we consider the message as a binary vector of size k. This message then will be encoded to a vector with size n using given algorithms. And then a noisy channel with particular value of error probability will be created where the transmission will took place. The last task would be decoding, which will correct and revert the received message back to the original message whenever possible, that is, if the number of error occurred is smaller or equal to the correcting radius of the code. In this paper we will use two types of data for simulations, namely vector and text data.
A questionnaire survey about oral hygiene among school children studying at JSS public school, Chamarajanagar

One of the major public health problem is oral diseases. More than three-fourth of the world population would have experienced dental carries or bad breathe once in their life time [1, 2] . Children who have dental carries are hampered from performing normal activities such as eating, playing, and socializing. This may lead to lack of concentration, which might hinder their performing efficiency [3, 4] . It is better prevent than cure any diseases. Prevention can only be done by proper education. Before educating the children, it is important evaluate their knowledge about the same [6] . This knowledge will lead to change in the attitude and behaviour of the children in their everyday activities [7] . Objective: This study aimed to evaluate the knowledge and create awareness among school children about oral hygiene. Result: About 88% brush twice daily, Majority of participants about 45.33% use horizontal method of brushing, about 54.67% uses toothpaste which contains fluoride, about 54.67% Students uses mouth wash, about 81.33% students uses floss, about 61.33%students uses tongue cleaner, about 41.33% students brush after every meal, about 70.67% students do gargle after every meal, about 49.33% students change their brush once in a month, about 66.67% students think soft drinks affect dental health, only 32% have noticed bleeding in the gums while brushing, only 58.67% knew dental disease impact general body health, only 29.33% students experienced pain and discomfort in teeth and gums, Around 49.33% students agree regular dental visit is necessary, only 28% students go for dental check-up, about 76% students had fear for visiting dentist, about 54.67% students think bacterium is always present in mouth, about 78.6% students think bacterium is responsible for decaying, around 68% students think there are special gels and cements to prevent tooth decay.
Multimodal Biometric Technology Using Fuzzy Logic Decision and Fuzzy Inference System

In this research paper I discuss about the challenges to implement secure personal identification protocols with biometric technology are increasing and the need for accurate human identification is higher than ever. Single modality biometric systems have to contend with a variety of problems such as noisy data, intra class variations, non-universality, spoof attacks, and distinctiveness. Some of these limitations can be addressed by deploying multimodal biometric systems that integrate multiple biometric modalities in a single scan to alleviate the challenges of a unimodal system. Performance in biometric verification is often affected by external conditions and variabilities. These are often related to mismatched conditions between enrolment and verification sessions, e.g. handsets/microphones for recording speech, cameras for capturing facial images and fingerprint readers. In addition, the user’s speech may vary according to ambient noise conditions, the speaker’s health (e.g. contracting a cold) or speaking styles. The user’s facial images may vary due to changes in backgrounds, illumination, head positions and expressions. While none of the biometrics alone can guarantee absolute reliability, they can reinforce one another when used jointly to maximize verification performance. This motivates multi-biometric (multimodal) authentication.
Income Inequality Generates Chaos

The present paper is an attempt to bridge the gulf between economics and econophysics. That is, constructing a chaos-based theoretical model, we show the behavior of the goal-driven agents exhibits the behavior of the purpose-free agents. Main conclusion is: economy becomes chaos if 1) capital gain of the middle class people is large enough for them to consume eight times as much as their income gain and 2) market for the middle class people is large enough and number of the middle class people is 16 times as large as the amount of products made by one producer.