Miracle-dz/UniFAR-FTUs huggingface dataset:
Review on Recent Progress in Boiling Modes and Self-migration of Droplets on Heated Surfaces

： Droplet impact on heated surfaces is widely used in various industrial processes such as internal combustion engines, fire suppression and cooling systems. Droplets performs diversely on surfaces at different temperature. Leidenfrost state, which inhibits heat transfer between solid and liquid for the arousing laminar airflow, is a key factor to impede high-temperature cooling. On the other hand, the airflow-endowed self-lubricating property in the Leidenfrost state possesses broad application prospect in droplet self-migration, which is becoming a hot research topic. The boiling modes of droplets on heated surfaces and the main effecting factors of Leidenfrost points on solid surfaces are introduced, as well as the latest research of droplet self-migration at high temperature. Furthermore, inadequacy of current studies of droplet impact on heated surfaces is discussed and its future research prospects are proposed.
A Patient Navigation Model to Improve Complex Wound Care Outcomes

ABSTRACT OBJECTIVE To create a blended format model to navigate interprofessional team assessments of patients with complex wounds during COVID-19 as a quality improvement process. METHODS During clinical assessments, patients were interviewed in their homes with representation from their circle of care and primary nurse on site linked to a live virtual interprofessional blended remote team model (wound care nurse specialist, advanced wound care doctor). Eligible patients had completed a wound care clinical pathway without wound closure. Palliative patients with complex wounds and patients without precise/accurate diagnoses were also included. This process addressed the components of Wound Bed Preparation 2021: manage the cause, address patient-centered concerns, determine the ability to heal, optimize local wound care, and evaluate outcomes on an ongoing basis. RESULTS Since April 2020, 48 patients were referred to the Home and Community Care Support Services patient navigation interprofessional team. Patients’ home-care services were initiated between 2012 and 2021. The team provided closure in 29% of patients and the wound surface area reduced in 66%. Pain was reduced in 73% of patients and appropriate infection management was implemented in 79%. In addition, nursing visits were reduced by 73% and there was a 77% decrease in supply usage. CONCLUSIONS This project validated the Wound Bed Preparation Paradigm 2021 as a process for assessing patients with complex wounds using a blended virtual and home-based assessment. Patient navigation with this blended model benefited patients and improved healthcare system utilization with projected cost savings.
Competency assessment of the operating room staff and some related factors: A multi-center cross-sectional study

Background: Operating Rooms (ORs) are complicated environments that necessitate the improvement of OR staff's knowledge and skills to remain clinically competent and secure patient safety. The aim of this study was to assess clinical competence of OR staff in accordance with some related factors. Materials and Methods: This descriptive analytical cross-sectional study was conducted on 227 OR staff in nine academic hospitals. Sampling was performed from the beginning to the end of May 2019 and the samples were selected by quota sampling. Data were collected using a researcher-made questionnaire encompassing six dimensions of competency including general knowledge, specialized knowledge, general practical skills, specific practical skills, personality, and motivation. Data analysis was performed using descriptive and interpretive statistics. Results: The mean (SD) total score of competence was 80.99, which was optimal (11.28). The lowest score was related to the dimension of general practical skills with the mean (SD) score of 53.32 (10.26). The mean score of specialized practical skills was significantly higher in single-specialty ORs (F = 21.53, p < 0.001). Based on multiple linear regression test, it was possible to predict clinical competency through the age and work experience (R-squared = 0.96, beta = 0.31, p = 0.022). Conclusions: Specialized training has overshadowed the general practical skills that are related to the observation of basic principles of patient safety apart from surgical specialization. Strengthening of competence in general practical skills need to be prioritized in empowerment programs. We need a fixed and permanent space for the continuation of educational programs designed to promote perioperative general practical skills.
On granularity of doing other-initiation: Nǐ yìsi shì X ‘Your Meaning is X’ in Mandarin Chinese

This study examines Nǐ yìsi shì X ‘Your Meaning is X’ as a practice of doing other-initiation in Mandarin conversations, focusing on how it addresses different sources of troubles systematically in informing sequences. It is found that while ‘Nǐ yìsi shì’ signals the speaker’s having trouble with the prior informing turn, ‘X’ is deployed to locate different aspects of the trouble source, being shaped by how an informing emerges in talk-in-interaction. Specifically, when following a volunteered informing, ‘X’ is usually built to clarify specific words or phrases in preceding informing, thereby treating a certain element as underspecified or ambiguous. However, when following a question-solicited informing, ‘X’ is typically constructed to work out what the provided information exactly conveys, indicating the whole informing turn/action is in some way problematic, inappropriate, or inapposite. In both cases, ‘Nǐ yìsi shì X’ serves as an OI, working to target different kinds of the trouble source, and simultaneously proposes a potential solution to it.
Arthropod Faunal Diversity in some Sacred Trees of Serampore, Hoogly, West Bengal

Kalpavriksha and Chaityavriksha scriptures mention that worshipping trees have been an ancient Indian practice. Considering trees as sacred entities, dates back to the era of the Aryans who worshiped nature. Plants and trees are associated with several Indian rituals and tree worshiping continues to be an aspect of modern Indian traditions. These trees are an important storehouse of biodiversity, having remained largely undisturbed by human interference and these are the last remnants of natural forests which should be preserved for conserve the local biodiversity.
estudo dos aspectos relacionados à presença de ruídos no processo de elaboração da informação contábil: haveria a influência de heurísticas comportamentais?

Esta pesquisa teve por objetivo analisar as relações entre a habilidade comunicativa, o grau de conhecimento e a posição dentro do sistema sociocultural dos elaboradores com a presença de ruídos no processo de elaboração da informação contábil. Para tanto, foi aplicado um questionário com 233 profissionais atuantes no mercado de trabalho e as análises foram conduzidas por meio das técnicas de regressão logística e de testes de diferença entre grupos. Como resultados, foi possível verificar que a habilidade comunicativa e o grau de conhecimento influenciam na presença de ruídos no processo de elaboração, posta a observação de relações positiva e negativa, respectivamente, para as proxies formação acadêmica e experiência profissional. Estes resultados contribuem com evidências de que há uma maior propensão de incorrência em ruídos por parte de elaboradores com maior grau de formação acadêmica, ao passo que elaboradores com maior experiência profissional ou que atuam no campo da Contabilidade Financeira incorrem em um menor grau de ruído.
Computability and randomness

The interplay between computability and randomness has been an active area of research in recent years, reflected by ample funding in the USA, numerous workshops, and publications on the subject. The complexity and the randomness aspect of a set of natural numbers are closely related. Traditionally, computability theory is concerned with the complexity aspect. However, computability theoretic tools can also be used to introduce mathematical counterparts for the intuitive notion of randomness of a set. Recent research shows that, conversely, concepts and methods originating from randomness enrich computability theory. Covering the basics as well as recent research results, this book provides a very readable introduction to the exciting interface of computability and randomness for graduates and researchers in computability theory, theoretical computer science, and measure theory.
Finite and non-finite verbs in political news: Israeli and Palestinians issues

Background: For centuries, newspapers have delivered news to the reading public informing important events of a day. Specifically, the political news nowadays is more relaxed and popular than other sections, not to mention that it is also presented in an interesting and serious manner. Purpose: This research aims to classify and determine the verbs whether they are finite or non-finite. Design and methods: The subjects of the research are political news of “The Jakarta Post” newspaper which have taken and collected from two articles published on Monday, January 27th, 2020 and Tuesday, January 28th, 2020, with the focus on news related to “Donald Trump’s issues between Israeli and Palestinians”. The method used in the research is descriptive qualitative methodology. The main theory of this research are Greenbaum and Nelson (2009), Burton-Roberts (2011), and Lobeck and Denham (2014). The steps in analyzing the data include: (1) collecting the data, (2) categorizing the collected data into their own classifications, (3) analyzing the data, (4) determining the data whether they are finite or non-finite verbs, and finally (5) concluding the data. Results: The results of the research shows that from the total of two hundred and seventy two findings, there are one hundred and twenty-eight data of finite verbs (47%) and one hundred and forty-four data of non-finite verbs which then are divided into thirty-one –to infinitives (12%), twenty-six bare infinitives (10%), twenty-three passive participles (8%), thirty –ing participles (11%), twelve passive participle forms of be (4%), nine progressive participle forms of be (3%), and thirteen perfect participle forms of have (5%).
Image caption generator using cnn and lstm

For this paper, we use CNN and LSTM to become aware of the caption of the image. Image caption generation is a system that comprehends natural language processing & computer vision standards to recognize the connection of the image in English. In this research paper, we cautiously pursue a number of important concepts of photograph captioning and its familiar processes. We talk about Kera’s library, NumPy and Jupiter notebooks for the making of this paper. We also talk about Flickr dataset and CNN used for photo classification.
The rationality of some moduli spaces of plane curves

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Controllability of neutral stochastic functional integro-differential equations driven by fractional Brownian motion

ABSTRACT This article focuses on controllability results of neutral stochastic delay partial functional integro-differential equations perturbed by fractional Brownian motion. Sufficient conditions are established using the theory of resolvent operators developed by Grimmer [Resolvent operators for integral equations in Banach spaces, Trans. Amer. Math. Soc. , 273(1982):333–349] combined with a fixed point approach for achieving the required result. An example is provided to illustrate the theory.
Skin disease migration segmentation network based on multi-scale channel attention

ABSTRACT Skin is the first line of defence of the human body. Accurate skin lesions image segmentation is essential for skin disease diagnosis and treatment planning. In this work, we create a new multi-scale channel attention module – MS-CA, which can display more accurate and relevant feature channels on multiple scales. And a network segmentation model for multi-scale channel attention(MS-CA) is proposed. The network model embeds the MS-CA module into two different types of benchmark networks, and modifies the two types of benchmark network models to obtain an image segmentation model suitable for skin diseases. Specifically, by extending the encoder and decoder structures of the LCA-Net network respectively, the MS-CA segmentation model of LCA-Net is proposed, and experiments are carried out on the ISIC2017 and ISIC2018 datasets, and the Dice and accuracy evaluation indicators are improved from 85.33% to 86.71 %, 96.07% increased to 97.23% and the MS-CA segmentation model of TransUNet was proposed. The Jaccard and Dice coefficients were increased from 66.21% to 68.80%, respectively. 79.67% increased to 81.52%. Compared with the existing methods, the MS-CA attention network segmentation model achieves better segmentation results, and it can be used as a new skin disease segmentation network as a computer-aided diagnosis tool.
Robust Nonlinear Model Predictive Control based on Constrained Saddle Point Optimization : Stability Analysis and Application to Type 1 Diabetes

This thesis deals with the design of a robust and safe control algorithm to aim at an artificial pancreas. More precisely we will be interested in controlling the stabilizing part of a classical cure. To meet this objective, the design of a robust nonlinear model predictive controller based on the solution of a saddle point optimization problem is considered. Also, to test the controller performances in a realistic case, numerical simulations on a FDA validated testing platform are envisaged.In a first part, we present an extension of the usual nonlinear model predictive controller designed to robustly control, in a sampled-data framework, systems described by nonlinear ordinary differential equations. This controller, which computes the best control input by considering the solution of a constrained saddle point optimization problem, is called saddle point model predictive controller (SPMPC). Using this controller, it is proved that the closed-loop is Ultimately Bounded and, with some assumptions on the problem structure, Input-to State practically Stable. Then, we are interested in numerically solving the corresponding control problem. To do so, we propose an algorithm inspired from the augmented Lagrangian technique and which makes use of adjoint model.In a second part, we consider the application of this controller to the problem of artificial blood glucose control. After a modeling phase, two models are retained. A simple one will be used to design the controller and a complex one will be used to simulate realistic virtual patients. This latter is needed to validate our control approach. In order to compute a good control input, the SPMPC controller needs the full state value. However, the sensors can only provide the value of blood glucose. That is why the design of an adequate observer is envisaged. Then, numerical simulations are performed. The results show the interest of the approach. For all virtual patients, no hypoglycemia event occurs and the time spent in hyperglycemia is too short to induce damageable consequences. Finally, the interest of extending the SPMPC approach to consider the control of time delay systems in a sampled-data framework is numerically explored.
How reliably can algorithms identify eosinophilic asthma phenotypes using non‐invasive biomarkers?

Abstract Background and Aims Asthma is a heterogeneous respiratory disease that encompasses different inflammatory and functional endophenotypes. Many non‐invasive biomarkers has been investigated to its pathobiology. Heany et al proposed a clinical algorithm that classifies severe asthmatic patients into likely‐eosinophilic phenotypes, based on accessible biomarkers: PBE, current treatment, FeNO, presence of nasal polyps (NP) and age of onset. Materials and Methods We assessed the concordance between the algorithm proposed by Heany et al. with sputum examination, the gold standard, in 145 asthmatic patients of the MEGA cohort with varying grades of severity. Results No correlation was found between both classifications 0.025 (CI = 0.013–0.037). Moreover, no relationship was found between sputum eosinophilia and peripheral blood eosinophilia count in the total studied population. Discussion and Conclusion In conclusion, our results suggest that grouping the biomarkers proposed by Heany et al. are insufficient to diagnose eosinophilic phenotypes in asthmatic patients. Sputum analysis remains the gold standard to assess airway inflammation.
SHINEⓇ: modelo para la transformación de espacios educativos

A la hora de acometer reformas o transformaciones en un entorno educativo, los Equipos Directivos han de tomar decisiones que conducirán a una importante inversión económica, sin tener a priori evidencias claras sobre el impacto que esta transformación tendrá en sus grupos de interés (alumnos, familias y personal docente y no docente). Las autoras han empleado una metodología de análisis documental, consultado bases de datos de rigor académico y científico y revisado la literatura existente de los últimos 24 años, de lengua española e inglesa, sobre el impacto de espacios educativos en las personas que los usan y sus comportamientos, y ofrecen un modelo-guía de construcción o transformación de espacios escolares pentadimensional, SHINEⓇ, fundamentado teóricamente y que integra de modo holístico aquellas dimensiones que ayudan a alinear esta transformación espacial innovadora con el Proyecto Educativo y el Plan estratégico del Centro: Stimulation; Human Centered; Individualization; Naturalness and Environmentally Friendly. Los resultados se discuten desde la necesidad de promover estos cambios educativos y su evaluación, con el fin de determinar su impacto personal, educativo y social.
GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran

ABSTRACT Due to increasing farmers’ attention to sorghum (Sorghum bicolor (L.) Moench) cultivation in arid and semi-arid regions, it is necessary to introduce new, suitable sorghum cultivars. The present study aimed to evaluate the yield stability of grain sorghum genotypes via AMMI and GGE biplot analyses to identify high-yielding and best adapted genotypes for release in Iran’s warm-temperate regions. Seven promising grain sorghum lines (KGS15, KGS19, KGS23, KGS25, KGS27, KGS32, and KGS36), along with three commercial cultivars (Kimiya, Payam, and Sepideh), were studied in seven regions of Iran (Karaj, Isfahan, Gorgan, Birjand, Shiraz, Zabol, and Hamedan) during the 2019 and 2020 growing seasons. AMMI analysis showed that genotypes G7, G3, and G6 had the lowest AMMI stability values (ASV). GGE biplot analysis showed that genotype G6 had the highest grain yield (GY) in most environments, whereas genotype G1 was specifically adapted to the Hamedan province. According to the average-environment coordination of the GGE biplot, genotype G6 was the most desirable genotype, significantly better than the second and third best genotypes G4 and G3 (G4 was missed by AMMI). This study also indicated that the GGE biplot method was more effective than the AMMI method in analyzing genotype by environment and identifying superior genotypes. Overall, G6 can be introduced as the superior-most genotype for cultivation in Iran’s warm-temperate regions.
COACHING IN THE FIELD OF BUSINESS MANAGEMENT

Background: The article presents the research and its results concerning the perception of coaching as one of the effective tools for business managers. Aim: The aim of the paper is to highlight coaching as a powerful tool in the development of managerial skills and innovation potential. The aim of the research was to find out to what extent coaching is widespread among business managers, and whether it is accepted as one of the skills of managers, and if there exist relationships between the age and the individual elements of coaching in terms of work of a business manager. Methods and sample: The research was performed in 2019 via a questionnaire method (the KKMP questionnaire), combining quantitative Likert scaling with closed statements. 169 business managers from Slovakia voluntarily participated in it. Results: The results of the research confirmed the existence of statistically significant links among the individual elements of coaching in the business manager’s work, and between the individual elements of coaching and the age of business managers in terms of their work. The results confirmed that managers, in general, should not undervalue the potential contribution of coaching to company and individual attributes in any age range.
mvmorph: an r package for fitting multivariate evolutionary models to morphometric data

We present mvmorph, a package of multivariate phylogenetic comparative methods for the r statistical environment. mvmorph is freely available on the cran package repository (http://cran.r-project.org/web/packages/mvMORPH/). mvmorph allows fitting a range of multivariate evolutionary models under a maximum‐likelihood criterion. Initially developed in the context of phylogenetic analysis of multiple morphometric traits, its use can be extended to any biological data set with one or multiple covarying continuous traits. All the fitting models include the possibility to use simmap‐like mapping, which may be useful for fitting changes along lineages at a given point in time. All models provide diagnostic metrics for convergence and reliability of estimates, as well as the possibility to include trait measurement errors in model estimates. New features provided by the mvmorph package include the possibility of fitting models with changes in the mode of evolution along the phylogeny, which will be particularly meaningful in comparative analyses that include extinct taxa, for example when testing changes in evolutionary mode associated with global biotic/abiotic events. We briefly describe the models already included in mvmorph and provide some demonstration of the use of the package with two simulated worked examples.
Optical properties of Ti3SiC2 and Ti4AlN3

The dielectric functions of the MAX phases, Ti3SiC2 and Ti4AlN3, have been determined from first principles calculations. We compared the dielectric functions and the reflectivity spectra of Ti3SiC2 and Ti4AlN3 with those of TiC and TiN. The optical spectra were analyzed by means of the electronic structure, which provides theoretical understanding of the conduction mechanism of these two phases. We found that Ti4AlN3 can be used to avoid solar heating and also increase the radiative cooling due to the increased thermal emittance as compared to TiN. Ti4AlN3 can therefore be a candidate coating material for temperature control of space vehicles.
Camera-assisted Pick-by-feel

Logistics Journal : Proceedings, Vol. 2016, Iss. 10 - In this contribution a novel system to support order pickers in warehouses is introduced. In contrast to existing solutions it utilizes the tactile perception in order to reduce the systems impact on the visual and auditive senses. Therefore, a smartwatch and a low-cost camera which are both worn by the picker are combined with activity and object recognition methods for surveying the picking process. The activity recognition is used in order to determine whether an object is picked. Then, barcode detection and a CNN (Convolutional Neural Network) based object recognition approach are employed for recognizing whether the correct item is chosen. Beside the conceptional work, implementation details and evaluation results under realistic conditions and on a publicly available dataset are presented.