Miracle-dz/UniFAR-FTUs huggingface dataset:
Are shifting communication styles crumbling old silos?

Clear communication is essential to provide high-quality health care. The medical environment is changing. Older physicians and nurses are retiring being replaced with younger professionals who are not as concerned with gender roles and who appreciate technical communication. Along with the changing setting is the introduction of communication frameworks that are more comprehensive and consider both verbal and nonverbal modems of communication. This article provides an anecdotal event evaluated by the Hannawa ‘SACCIA Safe Communication” framework but also considers the changing medical landscape which may be helping to dissolve miscommunication silos. The fast-paced, fluid medical environment calls for a more robust, interactive communication tool. Healthcare providers would benefit from education on the entire communicative process needed for successful communication.
Lógica de Programação e Pensamento Computacional Aplicados no Ensino Fundamental com o Uso do Scratch

O trabalho desenvolvido neste artigo tem por objetivo aplicar e explorar os resultados obtidos através do ensino de pensamento computacional, lógica de programação e algoritmos em estudantes do ensino fundamental, e também proporcionar um estudo base visando desmistificar o ensino de tais conteúdos e metodologias por parte dos professores. O estudo e apresentação de ferramentas como o Scratch, visam proporcionar um ambiente lúdico e confortável tanto para o docente quanto para o estudante, sendo uma porta de entrada útil para desenvolvimento de interdisciplinaridade, pensamento computacional e introdução de algoritmos aos estudantes.
An Analysis on Risk Adjusted Performance and Asset Pricing Model Comparison in Indonesian Stock Market during Covid-19

This study calculates the performance of the Fama and French Three Factor, the Carhart Four Factor, and the Fama and French Five Factor models and compares each performance using the Mean Absolute Deviant (MAD) and Ex-ante Sharpe ratio. The data is collected from Saham KOMPAS 100 for the period of 2017 to 2021, as well as calculations using Data Analytics tools in Microsoft Excel. The results are Factor model having the highest accuracy based on the value of Mean Absolute Deviant while the Three Factor model having the highest risk-adjusted return performance based on the Ex-ante Sharpe ratio. This study also pays attention to the context of the occurrence of COVID-19 in Indonesia, and based on the statistical analysis, this condition has a significant effect on stock returns. Keywords: Fama and French Three Factor Model, Carhart Four Factor Model, Fama and French Five Factor Model, COVID-19.
Evaluating Quantitative Easing: The Importance of Accounting for Forward Guidance

Brent Bundick is a senior research and policy advisor and A. Lee Smith is a vice president and economist at the Federal Reserve Bank of Kansas City. Logan Hotz, a research associate at the bank, helped prepare the article. This article is on the bank’s website at www.KansasCityFed. org On March 15, 2020, the Federal Open Market Committee (FOMC) lowered the federal funds rate—its primary policy tool—to its effective lower bound in response to the pandemic-induced contraction in economic activity. At the same time, the FOMC began engaging in large-scale asset purchases (LSAPs) and provided forward guidance about the future path of the funds rate. Both LSAPs and forward guidance are less conventional tools that the FOMC also deployed to combat the Great Recession of 2007–09. Although the Great Recession and pandemic crisis were driven by very different factors, policymakers in both periods looked to LSAPs and forward guidance to help stabilize financial markets and promote maximum employment and price stability. In theory, LSAPs support the economy by putting downward pressure on longer-term interest rates and improving the flow of credit to households and firms. However, policymakers and economists have yet to reach a consensus on how effective LSAPs are in providing accommodation and improving macroeconomic outcomes. One common approach to measuring the effectiveness of these tools is to study how financial markets respond to announced changes in LSAPs and forward guidance. But the market responses to these tools can be difficult to disentangle because announced changes in LSAPs often coincide with
Next-Generation Grade and Survival Expression Biomarkers of Human Gliomas Based on Algorithmically Reconstructed Molecular Pathways

In gliomas, expression of certain marker genes is strongly associated with survival and tumor type and often exceeds histological assessments. Using a human interactome model, we algorithmically reconstructed 7494 new-type molecular pathways that are centered each on an individual protein. Each single-gene expression and gene-centric pathway activation was tested as a survival and tumor grade biomarker in gliomas and their diagnostic subgroups (IDH mutant or wild type, IDH mutant with 1p/19q co-deletion, MGMT promoter methylated or unmethylated), including the three major molecular subtypes of glioblastoma (proneural, mesenchymal, classical). We used three datasets from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas, which in total include 527 glioblastoma and 1097 low grade glioma profiles. We identified 2724 such gene and 2418 pathway survival biomarkers out of total 17,717 genes and 7494 pathways analyzed. We then assessed tumor grade and molecular subtype biomarkers and with the threshold of AUC > 0.7 identified 1322/982 gene biomarkers and 472/537 pathway biomarkers. This suggests roughly two times greater efficacy of the reconstructed pathway approach compared to gene biomarkers. Thus, we conclude that activation levels of algorithmically reconstructed gene-centric pathways are a potent class of new-generation diagnostic and prognostic biomarkers for gliomas.
Nightmare and Psychosis Proneness: Mediating Role of Lucid Dreaming in Pakistani Adults

The current study was designed to examine the role of nightmares in psychosis proneness in relation to lucid dreaming. In this correlational study, the sample comprised of 220 young Pakistani adults from both genders (124 women and 96 men) age range from 18 to 26 years (M = 21.14, SD = 1.87). The participants were assessed on nightmares, psychosis proneness, and lucid dreaming through the Mannheim Dream Questionnaire, Inventory of Personality Organization, and The Lucidity and Consciousness in Dreams Scale respectively. Pearson correlation analysis demonstrated significant inter-correlation between dream lucidity, nightmare, and psychosis proneness. Path analysis illustrated dream lucidity as a significant mediator in the link between nightmare and psychosis proneness. The results concluded that dream lucidity plays the role of facilitating factor in the development of psychosis proneness. The findings also provide insight into the role of nightmares and lucid dreaming while examining psychosis proneness.
Effect of Chemical, Organic and Bio Fertilizers on Growth, Yield and Quality of Cucumber Plant (Cucumis sativus L.) grown under Greenhouse Conditions

This study was carried out at the Experimental Farm, College of Agriculture and Veterinary Medicine, Qassim University, Qassim Region, Kingdom of Saudi Arabia during the period 2019-2020 under greenhouse conditions to investigate the effect of chemical, organic and bio- fertilizers on growth, yield and quality of cucumber crop. Five treatments of fertilization (chemical "inorganic") as a control – (organic) – (organic + Biochar) – (organic + fungus “VA-mycorrhiza”) – (organic + bacteria “Bacillus”) were used in this study. Results revealed that there were significant differences between the fertilization treatments in all studied characteristics except leaf fresh weight (g), fruit length (cm), number of fruits plant -1 and total soluble solids (%). The results showed that the organic with bio fertilizers gave the best results in all studied characteristics and were not significantly different from chemical (inorganic) fertilization. Fertilization treatment (organic + bacteria) was the best in yield and quality characteristics. Fertilization treatment (organic + fungus) was the best in some vegetative growth traits such as relative growth rate (g g -1 day -1 ) and net assimilation rate (g m -2 day -1 ). Therefore, the study recommends the use of organic fertilizers with bio fertilizers, especially (organic + bacteria) to obtain the highest yield and quality of cucumber fruits. Thus, it is possible to preserve the soil, ground water and air from pollution by fertilizer residues, which achieves the main objective of the study, which is to preserve the environment from pollution, as well as to obtain safe healthy food. The study also recommends conducting more studies on the use of this type of fertilizer in different quantities and for other cultivars and on other crops under greenhouse conditions. As well as the use of this type of fertilizer with different mixtures of other organic fertilizers.
Potential distribution of hybrids between [i]Crocodylus acutus[/i] and [i]Crocodylus moreletii[/i] on the Mexican Pacific coast outside the natural hybridisation zone

In Mexico, Crocodylus acutus is widely distributed along the Pacific coast, while C. moreletii occurs on the Gulf of Mexico. Both species converge in the Yucatán peninsula where natural hybridisation is reported, and later it was also reported in the Gulf of Mexico. Unfortunately, due to translocations and stochastic events, currently there are hybrids of both species on the coast of Oaxaca and Guerrero. In this study, we evaluated the potential colonisation areas of the hybrids on the Pacific coast through ecological niche analyses. The results indicate that the hybrid crocodiles and the parent species share preferences in at least three climatic variables: average temperature range, isothermality, and minimum temperature of the coldest month. Furthermore, it was found that the climatic niche of the hybrids is more similar to that of the C. moreletii leaving reminiscent areas for C. moreletii in Nuevo León, San Luis Potosí and small areas far from the coast in Veracruz, coinciding with what was previously reported by molecular analysis. On the other hand, the climatic niche of the hybrid crocodiles is also sufficiently similar to that of C. acutus, having the possibility to colonise the Pacific coast extensively, leaving reminiscent small areas for C. acutus on the northern coast of Sinaloa, southern of Sonora, central coast of Oaxaca and small inland areas of the Pacific coast. Keywords: Crocodilians, ecological niche, hybrids, species model distributions, conservation, Mexico
Versión portuguesa del Cuestionario de Evaluación de Dificultades Interpersonales en la Adolescencia: fiabilidad y validez

El objetivo de este estudio fue validar la versión portuguesa del Cuestionario de Evaluación de Dificultades Interpersonales para Adolescentes (CEDIA) usando una muestra de 369 estudiantes de 12 a 18 años (51 % chicas; M = 14.50; SD = 1.60). El análisis factorial exploratorio de componentes principales y rotación oblimin, identificó 4 factores relacionados (Asertividad, Relaciones Familiares y Amigos, Relaciones Heterosexuales y Hablar en Público) que explicaron el 43.45 % de la varianza. En el análisis factorial confirmatorio se analizaron tres modelos predefinidos: el modelo nulo (M0), el modelo de un factor (M1) y el modelo de cuatro factores relacionados (M4). M4 fue el modelo que mejor se ajustó a los datos. La consistencia interna y la fiabilidad test-retest para la puntuación total del CEDIA fueron apropiadas. La correlación del CEDIA con la puntuación total del Inventario de Ansiedad Escolar (IAES) fue positiva y con un tamaño del efecto moderado. Este resultado fue similar para los tres sistemas de respuesta de ansiedad escolar medidos por el IAES y algo más variable para las cinco subescalas situacionales del IAES. Además, la correlación del CEDIA con la Social Anxiety Scale for Adolescents (SASA) fue positiva y pequeña para la subescala Aprensión y Miedo a la Evaluación Negativa (AFNE y moderada para la subescala Tensión e Inhibición en Situaciones Sociales (TISC). Finalmente, la correlación del CEDIA con el Internet Personality Inventory (IPI) fue positiva y moderada para la escala de Neuroticismo y negativa y pequeña para la escala Extraversión.
Removal of muscle artefacts from few‐channel EEG recordings based on multivariate empirical mode decomposition and independent vector analysis

Electroencephalography (EEG) recordings are often contaminated by muscle artefacts. To address the problem, various methods have been proposed to suppress muscle artefacts from either multichannel or single-channel EEG recordings. However, there exist few studies for muscle artefact removal from few-channel EEG recordings. An effective solution for the few-channel situation by combining multivariate empirical mode decomposition (MEMD) with independent vector analysis (IVA), termed as MEMD-IVA, is proposed. The proposed method consists of two steps. MEMD is first utilised to decompose a few-channel EEG recording into intrinsic mode functions (IMFs) and then IVA is applied on the IMFs to separate sources related to muscle activity. The performance of the proposed method on simulated and real-life data is evaluated. The results demonstrated that MEMD-IVA outperforms other possible existing methods in a few-channel situation.
El cable aéreo Línea K de Medellín, Colombia, 2005-2017

Este artículo evalúa los efectos de la construcción del cable aéreo Línea K en la ciudad de Medellín, Colombia, considerando dos periodos: 2005-2012 y 2005-2017. A partir de un modelo de diferencias en diferencias se determinan sus efectos sobre variables como el valor del metro cuadrado de suelo, la densidad de viviendas, los años promedio de estudio, el tiempo de viaje y el modo de transporte. Uno de los principales hallazgos es que la construcción del cable aéreo ha tenido efectos positivos sobre la movilidad social, pues hace posible que la población migre de este territorio al lograr una mayor escolaridad y un mayor nivel de ingresos.
LLC Synchronous Rectification Using Resonant Capacitor Voltage

Synchronous rectification (SR) for <italic>LLC</italic> resonant converters has been developed to enhance the power conversion efficiency and achieve high-power-density design. Conventional SR driving strategies can be categorized as current-driven methods, <inline-formula><tex-math notation="LaTeX">$v_{\text{DS-ON}}$</tex-math></inline-formula> sensing methods, and alternative approaches. The current-driven methods widely adopt current transformers (CTs) to sense the rectifier current and generate the SR driving signals. The CTs are lossy and bulky, which is unfavorable to high-power-density design. The <inline-formula><tex-math notation="LaTeX">$v_{\text{DS-ON}}$</tex-math></inline-formula> sensing methods remove the current sensors by sensing the voltage across the <sc>on</sc>-state resistor of the SR <sc>mosfet</sc>, yet the sensed signal is small and prone to be offset by the inductive voltage induced from parasitic components. Most alternative approaches avoid sensing noise-sensitive signals; however, the operating range is narrow due to the limited information from the converter. This paper proposes an SR driving strategy based on the resonant capacitor voltage (RCV) to address those issues. The RCV SR driving strategy does not require current sensors. The sensed RCV is insensitive to the parasitic effects. In addition, the RCV strategy controls the SR <sc>on</sc>-time effectively over a wide range of operating frequency and loading conditions. Simulation and experimental results of a 650-W/24-V <italic>LLC</italic> converter are presented to validate the effectiveness of the proposed RCV strategy. Compared with the conventional <inline-formula><tex-math notation="LaTeX">$v_{\text{DS-ON}}$</tex-math></inline-formula> sensing method, the <sc>on</sc>-time error caused by the parasitic effect is greatly reduced, which improves the power conversion efficiency and reduces the SR <sc>mosfet</sc> temperature.
Automatic Detection of Driver Impairment Based on Pupillary Light Reflex

The main objective of this paper is to determine the feasibility of designing a driver drunkenness detection system based on the dynamic analysis of a subject’s pupillary light reflex (PLR). This involuntary reaction is widely utilized in the medical field to diagnose a variety of diseases, and in this paper, the effectiveness of such a method to reveal an impairment condition due to alcohol abuse is evaluated. The test method consists in applying a light stimulus to one eye of the subject and to capture the dynamics of constriction of both eyes; for extracting the pupil size profiles from the video sequences, a two-step methodology is described, where in the first phase, the iris/pupil search within the image is performed, and in the second stage, the image is cropped to perform pupil detection on a smaller image to improve time efficiency. The undesired pupil dynamics arising in the PLR are defined and evaluated; a spontaneous oscillation of the pupil diameter is observed in the range [0, 2] Hz and the accommodation reflex causes pupil constriction of about 10% of the iris diameter. A database of pupillary light responses is acquired on different subjects in baseline condition and after alcohol consumption, and for each one, a first-order model is identified. A set of features is introduced to compare the two populations of responses and is used to design a support vector machine classifier to discriminate between “Sober” and “Drunk” states.
A Developed Approach Based on Lagrange Linear Prediction for Time-series Power-flow Simulation

Abstract This paper presents a developed predictor formulation for performing the time-series power-flow simulation of balanced and unbalanced distribution systems. The developed technique uses the changes in reactive and active powers of loads during the 24 hr in order to predict the updated voltage magnitudes and phase angles, respectively. The Lagrange linear interpolation is used as a predictor approach in the developed formulation. The developed technique is compared with the traditional technique that uses the previous solution as predictor values for the next solution. The conventional and developed techniques are implemented into forward/backward sweep for the three-phase radial distribution power-flow algorithm. The iterations number and computation time of the power-flow algorithm are significantly reduced in the case of using the developed technique compared with the previous solution technique. To prove its effectiveness, the developed technique is adopted for IEEE test systems, such as the radial balanced 69-node and unbalanced IEEE 123-node feeder. All calculations are performed using C++ programming.
Computer-based Textual Documents Collation System for Reconstructing the Original Text from Automatically Identified Base Text and Ranked Witnesses

Given a collection of diverging documents about some lost original text, any person interested in the text would try reconstructing it from the diverging documents. Whether it is eclecticism, stemmatics, or copy-text, one is expected to explicitly or indirectly select one of the documents as a starting point or as a base text, which could be emended through comparison with remaining documents, so that a text that could be designated as the original document is generated. Unfortunately the process of giving priority to one of the documents also known as witnesses is a subjective approach. In fact even Cladistics, which could be considered as a computer-based approach of implementing stemmatics, does not present or recommend users to select a certain witness as a starting point for the process of reconstructing the original document. In this study, a computational method using a rule-based Bayesian classifier is used, to assist text scholars in their attempts of reconstructing a non-existing document from some available witnesses. The method developed in this study consists of selecting a base text successively and collating it with remaining documents. Each completed collation cycle stores the selected base text and its closest witness, along with a weighted score of their similarities and differences. At the end of the collation process, a witness selected more often by majority of base texts is considered as the probable base text of the collection. Witnesses’ scores are weighted using a weighting system, based on effects of types of textual modifications on the process of reconstructing original documents. Users have the possibility to select between baseless and base text collation. If a base text is selected, the task is reduced to ranking the witnesses with respect to the base text, otherwise a base text as well as ranking of the witnesses with respect to the base text are computed and displayed on a bar diagram. Additionally this study includes a recursive algorithm for
A Review on Solubility Enhancement of Water Insoluble Drugs by Various Techniques

: Aim of the current study is to improve the solubility and oral bioavailability of poorly water-soluble drugs. Solid dispersions, one of the technique to improve the solubility and oral bioavailability of poorly soluble drugs. Solid dispersions are mainly prepared for BCS class -II drugs as these drugs have low solubility and high permeability. Solid dispersion can be prepared by various methods which includes Kneading method, Melting method, Solvent method, Electrospinning etc., The present article mainly focuses on various available methods to improve the drug solubility. The water-soluble carriers are used in preparation of solid dispersions which increases the dissolution rate of poorly soluble drug. The carrier selection should be freely soluble in water, pharmacologically inert and possess high dissolution rate. Examples of carriers are cyclodextrins, poly vinyl pyrrolidone, phospholipids and poly ethylene glycol etc.
Learning to Get Up with Deep Reinforcement Learning

Getting up from an arbitrary fallen state is a basic human skill. Existing methods for learning this skill often generate highly dynamic and erratic get-up motions, which do not resemble human get-up strategies, or are based on tracking recorded human get-up motions. In this paper, we present a staged approach using reinforcement learning, without recourse to motion capture data. The method first takes advantage of a strong character model, which facilitates the discovery of solution modes. A second stage then learns to adapt the control policy to work with progressively weaker versions of the character. Finally, a third stage learns control policies that can reproduce the weaker get-up motions at much slower speeds. We show that across multiple runs, the method can discover a diverse variety of get-up strategies, and execute them at a variety of speeds. The results usually produce policies that use a final stand-up strategy that is common to the recovery motions seen from all initial states. However, we also find policies for which different strategies are seen for prone and supine initial fallen states. The learned get-up control strategies have significant static stability, i.e., they can be paused at a variety of points during the get-up motion. We further test our method on novel constrained scenarios, such as having a leg and an arm in a cast.