bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Evaluation of Polyherbal Cosmetic Cream
Authors: Jagdishsingh Mr. Nikumbh Gaurav
Published: June 2022

Abstract: The present study was to prepare and evaluate the polyherbal cosmetic cream comprising extracts of natural products such as Aloe vera, Cucumis sativus and Daucus carota. Different types of formulations oil in water (O/W) herbal creams namely F1 to F7 were formulated by incorporating different concentrations of stearic acid and cetyl alcohol. The evaluations of all formulations (F1 to F7) were done on different parameters like pH, viscosity, spreadibilty and stability were examined. Formulations F6 and F7 showed good spreadibilty, good consistency, homogeneity, appearance, pH, spreadibilty, no evidence of phase separation and ease of removal. The formulation F6 and F7 shows no redness, edema, inflammation and irritation during irritancy studies. These formulations are safe to use for skin. These studies suggest that composition of extracts and base of cream of F6 and F7 are more stable and safe, it may produce synergistic action.
Analysis and Simulation of Waste Water Treatment Plant by Using GPS-X Software
Authors: Elachola Fathima Fayiza
Published: June 2022

Abstract: Kerala is rich in water resources, which helps to achieve the state to meet most of the water requirements. Due to increased population, most of the water resources are getting depleted. Among the types of water generated according to source , there is a big gap in the treatment of water. The proposed work present is planning to do a review about the modeling of water treatment plants with the help of GPS – X simulation softwares available in the industry . Also it focuses on the role of simulation tools for a better understanding of the treatment process and major trends emerging in the field of water treatment process .water supply and treatment often received more priority than waste water collection and treatment. However, water treatment deserves greater emphasis and should receive greater attention. The purpose of this project is to study the efficiency of the waste water Treatment Plant at karanthoor markaz, calicut This is done by monitoring the main physical, chemical water quality parameters, and comparing them with standards for effluents discharged into surface water. And simulation with the GPS-X software is used and results shows the performance of water treatment plant. In addition, with the software GPS-X, we are trying to improving capacity, operating efficiency and effluent quality by properly optimizing the existing facility can be obtained. This program has a clear-cut graphical interface and uses a specialized translator that converts the graphical process into material balance equations, based on dynamic models. These models allow, besides the kinetic descripton of the treatment process carried out at the water treatment plant, to simulate new scenarios towards the study of critical parameters for the process as well as optimization and control of the water treatment plant. For the modelling of the process it was necessary to collect historical data related to the water treatment plant’s performance over the last 3 years. This data was used as input values for the influent characterisation and as output values to achieve the treated effluent characterisation. Since the first simulation did not lead to the desired output results, it was necessary to proceed to the model calibration, by means of a more detailed study concerning the nutrient and organic fractions of the influent.
Formulation and Quality Evaluation of a Nutritional Taste maker Spice Up from Indigenous Spices
Authors: Ajitha G.
Published: June 2022

Abstract: An Instant Dried, Roasted, Powdered Taste Maker with No MSG (Monosodium Glutamate) was Developed Using Dried Vegetables and Spices. Vegetables, Spices, Greens were Used as the Ingredients. The Vegetables, Greens were Dried in a Hot Air Oven and Roasted, The Spices were Roasted and Grinded to a Powder with the Established Procedures and Formulated as Three Different Types of Masala as Spice Up Classic Masala, Spice Up Garam Masala, Spice Up Briyani Masala. Along with it, The Physio-Chemical and Organoleptic Attributes of the Developed Product was Analysed for Consumer Acceptability. Selected Variation from the Three was Evaluated for Physiochemical, Antioxidant Activity, Phytochemical, Proximate Analysis, Microbial Analysis.
Local Energy Based Shape Histogram (LESH) and Adaboost Machine Learning Techniques to Detect Lung Cancer
Authors: Shinde Mrs. Reena
Published: June 2022

Abstract: Numerous cancerous tissues develop in a manner that obscures the specific side effects, making it challenging to identify the effects of lung disease. This investigation's findings can be verified using high-resolution images. With this method, the LESH Algorithm's vital activity will be examined in images. In this study, the GLCM approach is used to pre-measure the previews and element extraction framework, as well as to verify a patient's infection rate at a period when it is abnormal to know it. The malignancy stage will be assessed with the help of the results. Patients with malignant growths whose endurance rates can be estimated using the informational index. The outcome is wholly determined by how accurately the tissue patterns were constructed or how incorrectly they were constructed.
Anthelia
Authors: Acharya Dr. Sudha
Published: June 2022

Abstract: Anthelia - a start-up initiative by ITLeens was launched to provide the students with hands-on experiential learning in product development apart from developing marketing strategies and entrepreneurship skills. This initiative assumed an interdisciplinary approach by involving students of all domains of Science, Commerce, and Humanities in the production network. This extraordinary feat with a comprehensive approach was attained by involving a maximum number of students as prospective input providers, irrespective of their age.
Irregular Building over Sloped Ground Surface with Shear Walls or Bracings: A Review
Authors: K A Muhammed
Published: June 2022

Abstract: Due to the increase in population and tourist numbers, construction works are rapidly increasing in hilly places. But the issue is hilly areas are vulnerable to various natural hazards which can cause damage to human life and other resources. The buildings in hilly areas are vertically and horizontally irregular and are much more prone to seismic activities. In this review paper, attempts are made to review the previous studies related to buildings in hilly areas. It aims at consolidating the outcomes of several attempted kinds of research to improve the overall stability of the buildings in hilly areas. Mainly shear walls and bracings are used to improve the resistance of seismic activities.
Behavior Driven Development using Gauge Framework
Authors: Shamanth M.
Published: June 2022

Abstract: Behavior Driven Development (BDD) focuses on the behavior of the system or the business point of view and captures the business specific requirements. Many BDD frameworks implement a strict syntax like Gherkin, this study proposes a solution to remove this by using Gauge Framework. The BDD Gauge Framework will be analyzed and studied in-depth. The drawback of this study is that a big industry level testing isn’t feasible hence will need to be dependent on external research papers. The emerging opportunity here is that Gauge Framework can be considered as a BDD tool with its unique inbuilt capability of parallelization or scaling of tests, data driven testing, no strict restricted syntax and also enhances agile development. Key findings of this study will be how Gauge Framework improves testing with better defect detection while maintaining good method coverage for various business scenarios and also how it can be used as a BDD framework by reducing manual effort. This paper will also determine the performance with respect to other competitive frameworks in the market like Cucumber, RSpec, SpecFlow.
A review on Simulation of Hybrid Microgrid System with Renewable Energy Sources
Authors: Gajbhiye Subodh
Published: June 2022

Abstract: The novel hybrid renewable energy system consists of different sources such as the Photovoltaic (PV) system, Wind Energy system (PMSG), Fuel Cell, and the AC source are implemented as energy sources. The battery and Super Capacitor are used to store excess energy from all sources together which are connected to the DC microgrid. The rapid growth of industries and load consumption increases the energy demand that needs to fulfilling this energy demand can be obtained from various alternative sources has much importance. The DC microgrid simulated in the MATLAB Simulink, the observations and results authenticate that the power generation sources enhance the stability of power, reliability, and power efficiency in the microgrid. Therefore, the grid provides good quality of power to two different loads namely 48V DC output and 110V AC single-phase output. In this proposed system many individualized converters are used in the DC bus to deliver appropriate power in it.
Visuliazation of Business Process and Its Risks Using Process Mining
Authors: M Manish Kumar
Published: June 2022

Abstract: This document gives information about the system which was able to efficiently analyse the log data with the help pf Digital Twin of an Organization. The system which was able to identify the bottlenecks and eliminate those bottlenecks present in the business model. The system which is succesfull in animating the Digital Twin of an Organization with the help of the log data and also successful in checking the compliance of the Expected Model with the As-Is Model.
INCORPORACIÓN DE HARINA DE CHOCHO (Lupinus mutabilis Sweet) EN DIETA PARA TILAPIA ROJA (Oreochromis sp)
Authors: Diaz Erazo Diana Yaqueline , Guerrero Romero Camilo Lenin , Imúes Figueroa Marco Antonio , Gómez Barco Angela María , Narváez Mora Edy Santiago
Published: June 2022

En acuicultura, el alimento balanceado representa entre el 50% y 70% de los costos de producción, por lo tanto, es importante que este insumo sea lo más eficiente posible en términos nutricionales y que además se suministre de manera óptima a los organismos de cultivo. Los alimentos balanceados son elaborados con diversas materias primas que determinan en gran medida el precio final. El objetivo del estudio fue evaluar el efecto de diferentes niveles de harina de chocho (Lupinus mutabilis Sweet) adicionada en diferentes porcentajes 10, 20 y 30% a la dieta en tilapia roja (Oreochromis sp). La investigación se ejecutó durante 50 días en el laboratorio de nutrición y alimentación de la Universidad de Nariño, se utilizó un sistema de recirculación conformado por 12 acuarios con una capacidad de 25 litros. Se sembraron 15 ejemplares de tilapia roja con un peso promedio de 3,45 gramos (g), alimentando al 5% de la biomasa. Se evaluaron cuatro tratamientos, cada uno con tres replicas utilizando la harina de chocho, el (T0) sin adición, (T1) con el 10%, (T2) con el 20% y (T3) con el 30%. Durante el estudio se evaluó las variables de peso, talla, factor de conversión alimenticia, y parámetros físico-químicos como el pH, oxígeno disuelto y temperatura.  (T1) fue el que presento mayor crecimiento (11,1), respecto a los demás (T2), 4,93, (T3) 5,62 y (T4) 5,57. La incorporación de nuevas materias primas en la alimentación y nutrición de las especies acuícolas, son una apertura para encontrar y satisfacer los requerimientos nutricionales de los peces y como una posible fuente de investigación que dará lugar para reemplazar algunas de las materias primas que generan altos costos de producción.
Classical simulations of communication channels
Authors: Frenkel Péter E.
Published: June 2022

We investigate whether certain non-classical communication channels can be simulated by a classical channel with a given number of states and a given `amount' of noise. It is proved that any noisy quantum channel can be simulated by a corresponding classical channel with `the same amount' of noise. Classical simulations of general probabilistic channels are also studied.
Russian dictionary with concreteness/abstractness indices
Authors: Solovyev Valery D. , Volskaya Yulia A. , Andreeva Mariia I. , Zaikin Artem A.
Published: June 2022

The demand for a Russian dictionary with indices of abstractness/concreteness of words has been expressed in a number of areas including linguistics, psychology, neurophysiology and cognitive studies focused on imaging concepts in human cognitive systems. Although dictionaries of abstractness/concreteness were compiled for a number of languages, Russian has been recently viewed as an under-resourced language for the lack of one. The Laboratory of Quantitative Linguistics of Kazan Federal University has implemented two methods of compiling dictionaries of abstract/concrete words, i.e. respondents survey and extrapolation of human estimates with the help of an original computer program. In this article, we provide a detailed description of the methodology used for assessing abstractness/concreteness of words by native Russian respondents, as well as control algorithms validating the survey quality. The implementation of the methodology has enabled us to create a Russian dictionary (1500 words) with indices of concreteness/abstractness of words, including those missing in the Russian Semantic Dictionary by N.Yu. Shvedova (1998). We have also created three versions of a machine dictionary of abstractness/concreteness based on the extrapolation of the respondents' ratings. The third, most accurate version contains 22,000 words and has been compiled with the use of a modern deep learning technology of neural networks. The paper provides statistical characteristics (histograms of the distribution of ratings, dispersion, etc.) of both the machine dictionary and the dictionary obtained by interviewing informants. The quality of the machine dictionary was validated on a test set of words by means of contrasting machine and human evaluations with the latter viewed as more credible. The purpose of the paper is to give a detailed description of the methodology employed to create a concrete/abstract dictionary, as well as to demonstrate the methodology of its application in theoretical and applied research on concrete examples. The paper shows the practical use of this vocabulary in six case studies: predicting the complexity of school textbooks as a function of the share of abstract words; comparing abstractness indices of Russian-English equivalents; assessing concreteness/abstractness of polysemantic words; contrasting ratings of different age groups of respondents; contrasting ratings of respondents with different levels of education; analyzing concepts of "concreteness” and “specificity”.
Collection and evaluation of lexical complexity data for Russian language using crowdsourcing
Authors: Abramov Aleksei V. , Ivanov Vladimir V.
Published: June 2022

Estimating word complexity with binary or continuous scores is a challenging task that has been studied for several domains and natural languages. Commonly this task is referred to as Complex Word Identification (CWI) or Lexical Complexity Prediction (LCP). Correct evaluation of word complexity can be an important step in many Lexical Simplification pipelines. Earlier works have usually presented methodologies of lexical complexity estimation with several restrictions: hand-crafted features correlated with word complexity, performed feature engineering to describe target words with features such as number of hypernyms, count of consonants, Named Entity tag, and evaluations with carefully selected target audiences. Modern works investigated the use of transforner-based models that afford extracting features from surrounding context as well. However, the majority of papers have been devoted to pipelines for the English language and few translated them to other languages such as German, French, and Spanish. In this paper we present a dataset of lexical complexity in context based on the Russian Synodal Bible collected using a crowdsourcing platform. We describe a methodology for collecting the data using a 5-point Likert scale for annotation, present descriptive statistics and compare results with analogous work for the English language. We evaluate a linear regression model as a baseline for predicting word complexity on handcrafted features, fastText and ELMo embeddings of target words. The result is a corpus consisting of 931 distinct words that used in 3,364 different contexts.
Text complexity and linguistic features: Their correlation in English and Russian
Authors: Morozov Dmitry A. , Glazkova Anna V. , Iomdin Boris L.
Published: June 2022

Text complexity assessment is a challenging task requiring various linguistic aspects to be taken into consideration. The complexity level of the text should correspond to the reader’s competence. A too complicated text could be incomprehensible, whereas a too simple one could be boring. For many years, simple features were used to assess readability, e.g. average length of words and sentences or vocabulary variety. Thanks to the development of natural language processing methods, the set of text parameters used for evaluating readability has expanded significantly. In recent years, many articles have been published the authors of which investigated the contribution of various lexical, morphological, and syntactic features to the readability level. Nevertheless, as the methods and corpora are quite diverse, it may be hard to draw general conclusions as to the effectiveness of linguistic information for evaluating text complexity due to the diversity of methods and corpora. Moreover, a cross-lingual impact of different features on various datasets has not been investigated. The purpose of this study is to conduct a large-scale comparison of features of different nature. We experimentally assessed seven commonly used feature types (readability, traditional features, morphological features, punctuation, syntax frequency, and topic modeling) on six corpora for text complexity assessment in English and Russian employing four common machine learning models: logistic regression, random forest, convolutional neural network and feedforward neural network. One of the corpora, the corpus of fiction literature read by Russian school students, was constructed for the experiment using a large-scale survey to ensure the objectivity of the labeling. We showed which feature types can significantly improve the performance and analyzed their impact according to the dataset characteristics, language, and data source.
ReaderBench: Multilevel analysis of Russian text characteristics
Authors: Corlatescu Dragos , Ruseti Ștefan , Dascalu Mihai
Published: June 2022

This paper introduces an adaptation of the open source ReaderBench framework that now supports Russian multilevel analyses of text characteristics, while integrating both textual complexity indices and state-of-the-art language models, namely Bidirectional Encoder Representations from Transformers (BERT). The evaluation of the proposed processing pipeline was conducted on a dataset containing Russian texts from two language levels for foreign learners (A - Basic user and B - Independent user). Our experiments showed that the ReaderBench complexity indices are statistically significant in differentiating between the two classes of language level, both from: a) a statistical perspective, where a Kruskal-Wallis analysis was performed and features such as the “nmod” dependency tag or the number of nouns at the sentence level proved the be the most predictive; and b) a neural network perspective, where our model combining textual complexity indices and contextualized embeddings obtained an accuracy of 92.36% in a leave one text out cross-validation, outperforming the BERT baseline. ReaderBench can be employed by designers and developers of educational materials to evaluate and rank materials based on their difficulty, as well as by a larger audience for assessing text complexity in different domains, including law, science, or politics.
What neural networks know about linguistic complexity
Authors: Sharoff Serge Aleksandrovich
Published: June 2022

Linguistic complexity is a complex phenomenon, as it manifests itself on different levels (complexity of texts to sentences to words to subword units), through different features (genres to syntax to semantics), and also via different tasks (language learning, translation training, specific needs of other kinds of audiences). Finally, the results of complexity analysis will differ for different languages, because of their typological properties, the cultural traditions associated with specific genres in these languages or just because of the properties of individual datasets used for analysis. This paper investigates these aspects of linguistic complexity through using artificial neural networks for predicting complexity and explaining the predictions. Neural networks optimise millions of parameters to produce empirically efficient prediction models while operating as a black box without determining which linguistic factors lead to a specific prediction. This paper shows how to link neural predictions of text difficulty to detectable properties of linguistic data, for example, to the frequency of conjunctions, discourse particles or subordinate clauses. The specific study concerns neural difficulty prediction models which have been trained to differentiate easier and more complex texts in different genres in English and Russian and have been probed for the linguistic properties which correlate with predictions. The study shows how the rate of nouns and the related complexity of noun phrases affect difficulty via statistical estimates of what the neural model predicts as easy and difficult texts. The study also analysed the interplay between difficulty and genres, as linguistic features often specialise for genres rather than for inherent difficulty, so that some associations between the features and difficulty are caused by differences in the relevant genres.
Review of A.Ya. Shajkevich, V.M. Andryushchenko, N.A. Rebeckaya. 2021. Distributive-statistical analysis of the language of Russian prose of the1850-1870s, vol. 3. Publishing House YaSK, Moscow. ISBN 978-5-907290-61-7
Authors: Bayrasheva Venera R.
Published: June 2022

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HUBUNGAN ETNIK DI TANAH MELAYU, 1941-1955: PENELITIAN AWAL BERDASARKAN SUDUT PANDANGAN SEJARAH
Authors: Haniffa Mohamed Ali , Mohamad Ayu Nor Azilah
Published: June 2022

This article discusses the sharing of ethnic relations in Malaya from a historical point of view, from 1941 to 1955. The discussion centered on the chronology of racial relationships during the era of Malacca Sultanate which becomes a role model in the context of shared values, solidarity, and civilization. Elements of value sharing continue to develop, but become fragile following the impact of imperialism and colonialism. The sharing of common values was forged in the context of a pluralistic society but turned prejudice during the Japanese occupation of Malaya. Legitimize communist power with unjust acts led to the outbreak of fights between the Malays and Chinese following the withdrawal of Japanese troops. Nevertheless, the agenda of rebuilding and nurturing the sharing of common values became a priority in the effort to restore racial harmony after the Second World War. Under the challenge of the Industrial Revolution 4.0, Malaysia needs to make careful preparations in building a patriotic soul and society. This study is using qualitative methods and data analysis includes primary and secondary sources covering colonial office files, newspapers, books and interviews. The results and findings of the study found that the sharing of life values in society is a great contributor to building a united and independent Malaysia. A series of historical events, that have taken place, should be used as a lesson in the context of developing religious, racial and national excellence
MALAYSIA DAN ASEAN: KEPENTINGAN DAN PENDEKATAN MALAYSIA TERHADAP ASEAN, 1967-2017
Authors: Arnakim Lili Yulyadi , Mat Siti Mariam
Published: June 2022

Malaysia merupakan salah sebuah negara awal atau juga digelar sebagai Founding Fathers kepada pertubuhan ASEAN di mana berkolaborasi dengan negara Filipina, Indonesia, Thailand dan juga Singapura dalam menubuhkan satu entiti rantau yang menjadi payung kepada rantau Asia Tenggara dalam menghadapi tekanan dari dalam negara mahupun dari luar negara. Pertubuhan ini merupakan reaksi pemimpin-pemimpin negara awal ASEAN untuk menubuhkan satu organisasi serantau yang menjadi platform bagi negara anggota ASEAN dalam segenap aspek. Kajian ini dihasilkan untuk melihat apakah pendekatan mahupun mekanisme yang dilaksanakan oleh negara Malaysia sepanjang bergiat dalam pertubuhan ASEAN di mana ia dianggap sebagai cara yang dilakukan oleh Malaysia dalam berhubungan dengan negara anggota ASEAN mahupun dengan dialogue partner ASEAN sejak ditubuhkan hingga tahun 2017. Seterusnya adalah untuk mengenalpasti kepentingan pertubuhan ASEAN kepada negara Malaysia yang meliputi manfaat yang dinikmati Malaysia dalam aspek politik dan keselamatan, perkembangan ekonomi dan juga kemajuan dalam aspek sosio-budaya. Pertubuhan ASEAN merupakan kepentingan terbesar terhadap dasar luar negara Malaysia di mana ia merupakan satu-satunya pertubuhan serantau yang membincangkan segala isu yang menjadi keperluan dan kepentingan kepada negara anggota. Penglibatan dan kerjasama yang aktif antara negara anggota dengan menggunakan pendekatan yang tersendiri telah melahirkan regional prosperity yang dikongsi bersama. Pengkaji menggunakan metodologi kualitatif iaitu menemubual beberapa pegawai dari Sekretariat Kebangsaan ASEAN Malaysia dan kaedah rujukan ilmiah terhadap karya-karya mengenai ASEAN dan juga keatas maklumat yang terdapat pada laman rasmi pertubuhan ASEAN. Hasil dapatan kajian mendapati bahawa terdapat mekanisme mahupun pendekatan yang dilaksanakan mengikut kepada keadaan tertentu yang menjadi keperluan kepada negara Malaysia. Pendekatan yang aktif dan efektif oleh negara Malaysia telah menjadikan suatu usahasama berhasil dan boleh dinikmati bersama rakan kongsinya serta ia memberikan imej yang baik kepada negara Malaysia itu sendiri.
Análisis de resultados a partir del rediseño un sistema de olfato electrónico para el beneficio de calidad del cacao
Authors: Flórez Martínez Alexander
Published: June 2022

El desarrollo del proyecto de investigación realiza la optimización de un sistema de olfato electrónico implementado para el beneficio de calidad de cacao en el proceso poscosecha, se inicia del precedente de un sistema existente donde se identifica la posibilidad de rediseñar la cámara de concentración, cámara de medida y reducción de la matriz multisensorial de 9 a 6 sensores del fabricante MQ, encargados de percibir compuestos volátiles emanados por muestras de cacao. Para el proceso de adquisición de datos se utilizó una tarjeta Arduino con conexión a PC y mediante el uso del software LabVIEW se realiza algoritmo que permite la ejecución, control automático del sistema y almacenamiento de data, posterior se procede a analizar los datos mediante algoritmo de aprendizaje automático con motivo de validar los resultados, el cual arroja que el sistema tiene la capacidad de discriminar los volátiles sometidos que corresponden a muestras de cacao en estado de fermentación, sobreferementación y seco. En el análisis de resultados se somete la data a preprocesado de datos MinMaxScaler y Manhattan, siendo este último el más adecuado para realizar la clasificación de muestras, obteniendo un porcentaje de varianza total del 86%.
Mi infancia aprendiendo
Authors: Sanabria Rincón Julieth Catherin
Published: June 2022

Este libro, narra la historia de Antonia, una niña de 8 años, que se encuentra expuesta el día de su cumpleaños a situaciones que pueden conllevar a abuso sexual infantil; es una guía sencilla de prevención, donde explica a los niños y adultos, las partes del cuerpo intimas y públicas. Su finalidad es enseñar autocuidado a los niños y niñas sobre posibles situaciones de abuso en los que puedan ser víctimas; aprendiendo a reaccionar de manera adecuada informando a una persona de su confianza y a las autoridades sobre la situación. En la mayoría de los casos los agresores sexuales hacen parte del círculo cercano de la víctima, como familiares, amigos, vecinos o profesores y se puede presentar en cualquier contexto.
La Investigación, Innovación y Extensión al servicio de la sociedad, en el marco de la Sexta Jornada de Apropiación Social del Conocimiento
Authors: Moreno Gómez Germán Alberto , Cabrales Vega Rodolfo Adrián , Franco Londoño Jairo , Trujillo Henao Samuel Eduardo , Patiño Suárez Víctor Manuel , Sánchez Naranjo Julio Cesar , Muñoz Rincón Laura Victoria , Quiroz Mazuera Andrés Felipe , García Cuevas Andrés Mauricio , Arroyave Durán Cristhian David , Giraldo Castaño Fabián David , Guerra Solarte Álvaro , Buitrago Jaramillo Juliana , Atehortua Sanchez Nelcy , Herrera Paula Marcela , Echeverry Correa Julian D , Montoya Acevedo Diego Alberto , Escobar Mejia Andrés , Guerrero Alvarez Gloria Edith , Cifuentes Colorado Gustavo Alfonso , Sandoval Mossos Paula Daniela , Marín Osorio William , Agudelo Gil María Gladis , Correa Aristizábal Gloria Inés , Bernal Loaiza María Elena , Gómez Suta Manuela , Iodice Rosario , Vásquez Ramírez Teresita
Published: June 2022

El proyecto artístico Magdalenas por el Cauca reúne una serie de iniciativas de carácter relacional y performativo, realizadas por los artistas Gabriel Posada y Yorlady Ruiz, en algunos territorios del Valle del Cauca y Risaralda. Desde su creación en 2008, el proyecto ha contado con la participación de otros artistas, organizaciones de la sociedad civil, grupos comunitarios, asociaciones de víctimas, realizadores audiovisuales, investigadores y periodistas, quienes con su lectura y reflexión han contribuido a visibilizar los procesos, a extender su resonancia y a posibilitar su duración en el tiempo.
Event-Based Motion Segmentation of Small Objects in the Wild
Authors: Sun Zhezheng , Hou Chuantong , Wang Longguang , Deng Xinpu , Li Miao
Published: June 2022

Event-based cameras are sensitive to brightness changes and can capture
rich temporal information with very high temporal resolution, which has
great potential for motion segmentation of moving objects. Under static
background, events are only triggered by motion of objects, thereby
moving objects can be easily segmented. However, in many real-world
applications, events are also be triggered by the motion of camera or
background and submerge the ones corresponding to moving objects. In
this letter, we propose an event-based motion segmentation method to
segment moving small objects in events obtained from the wild. First,
motion estimation is performed to align the events triggered by the
background. Then, candidate events corresponding to moving objects or
moving backgrounds are detected. Finally, motion information is adopted
to segment the events of moving small objects from the ones triggered by
the background. In addition, we develop the first dataset for
event-based motion segmentation of small objects, namely EMSS.
Experimental results demonstrate the effectiveness of our method and
show that our method can achieve robust motion segmentation of small
moving objects in the wild.
A systematic study on the bimetallic mononuclear LinClK (n=1-6) superalkali clusters
Authors: Şentürk Şükrü , Ekincioğlu Yavuz , Doğan Ümit
Published: June 2022

The geometrical structures, stabilities and electronic properties of
bimetallic mononuclear LinClK(0,+1) (n=1-6) clusters were studied within
the density functional theory. From the ground state geometries, the Cl
atom prefers the apex position and the K atom is at either side position
or at surface. The dissociation energy, second order energy difference
and GapHL (HOMO-LUMO gap) points out that LinClK(n=2,4,6) and the
LinClK+(n=1,3,5) clusters are more stable. According to their ionization
energies, the clusters can be classified as superalkalis, but the
systematic study signifying that noticeable ionisation energy difference
appears between the smallest bimetallic mononuclear superalkali compound
(LiClK) and rest of superalkali species. Upon ionisation, the detached
electron is from K atom. The delocalised electrons except the LiClK+
point out that the clusters are hyperlithiated clusters. The
delocalization type of 3c/2e is responsible from the higher stability of
the closed shell clusters.
A New Necessary and Sufficient Condition for the Existence of Global Solutions to Semilinear Parabolic Equations on bounded domains
Authors: Chung Soon-Yeong , Hwang Jaeho
Published: June 2022

The purpose of this paper is to give a necessary and sufficient
condition for the existence and non-existence of global solutions of the
following semilinear parabolic equations \[
u_{t}=\Delta
u+\psi(t)f(u),\,\,\mbox{
in }\Omega\times (0,t^{*}),
\] under the Dirichlet boundary condition on a bounded
domain. In fact, this has remained as an open problem for a few decades,
even for the case $f(u)=u^{p}$. As a matter of fact, we
prove:\\ \[
\begin{aligned} &\mbox{there is no
global solution for any initial data if and only if
}\\ &\mbox{the function
} f \mbox{ satisfies}\\
&\hspace{20mm}\int_{0}^{\infty}\psi(t)\frac{f\left(\epsilon
\,\left\|
S(t)u_{0}\right\|_{\infty}\right)}{\left\|
S(t)u_{0}\right\|_{\infty}}dt=\infty\\
&\mbox{for every
}\,\epsilon>0\,\mbox{
and nonnegative nontrivial initial data
}\,u_{0}\in
C_{0}(\Omega). \end{aligned}
\] Here, $(S(t))_{t\geq 0}$ is the
heat semigroup with the Dirichlet boundary condition.
Lacunary Statistical Convergence on L − Fuzzy Normed Space
Authors: YAPALI Reha , KORKMAZ Erdal , ÇINAR Muhammed , Coşkun Hüsamettin
Published: June 2022

The idea of lacunary statistical convergence sequences, which is a
development of statistical convergence, is examined and expanded in this
study on L − fuzzy normed spaces, which is a generalization of fuzzy
spaces. On L − fuzzy normed spaces, the definitions of lacunary
statistical Cauchy and completeness, as well as associated theorems, are
provided. The link between lacunary statistical Cauchyness and lacunary
statistical boundedness with regard to L − fuzzy norm is also shown.
Safe Heart Flush Technique During Recovery From Donors After Circulatory Death
Authors: Ahmed Magdy El-Sayed , Landolfo Kevin , Jacob Samuel , Sareyyupoglu Basar , Thomas Mathew , Pham Si , Makey Ian
Published: June 2022

For donation after circulatory death, procurement is performed after the
heart has arrested. This technique has been employed and adopted by
clinicians to overcome the shortage of available hearts for transplant.
Warm ischemia time plays a pivotal role in the survival outcome of the
heart recipients. We describe a fast and safe technique to flush the
heart during recovery from circulatory death donors in order to shorten
the warm ischemia time.
Towards a mechanistic explanation of Island biogeography using subterranean animal communities
Authors: Martinez Alejandro , Mammola Stefano , Pérez-Delgado Antonio , García Rafael , López Heriberto , Fontaneto Diego , Oromí Pedro
Published: June 2022

Using subterranean fauna in the Canary Islands as a simplified natural
laboratory, we explored how the interplay of eco-evolutionary processes
shape taxonomic and functional diversity patterns in oceanic
archipelagos through geological times. First, we demonstrated an overall
convergence in the trait spaces of subterranean communities across
islands, yet with variability according to each island’s ontogenetic
state—young, mature, or senescent. Next, we showed that the reduced
species contribution to the island’s traits space in mature islands is a
consequence of an optimisation of the use of the available niche space
driven by species interactions. Finally, we link those lines of evidence
showing that species interactions select a non-random combination of
traits in mature islands. Collectively, our results provided a
mechanistic description of the drivers of diversity in oceanic islands
by suggesting causal relationships between species functional properties
and island diversity metrics accounting for their geological age.
Chylous ascites as a rare complication of abdominal trauma in children: A case report
Authors: Jafari Anahita , Reihani Hamid , karbasian fereshteh , Darban Behnaz , Dehghani Seyed Mohsen
Published: June 2022

Chylous ascites following trauma in children is very rare, and to the
best of our knowledge, there are very few reports in this regard. Here,
we report a 7-year-old girl who was referred to our center with CA after
a car accident.
Drug utilization study in patients with SARS-CoV-2 in an intensive care unit
Authors: Mendez Miguel Sevilla , López Ana María Téllez , Barragán Giovanni Gómez , Hernández Ivette Reyes , González Claudia Velázquez , Camps Isis Beatriz Bermudez
Published: June 2022

Aim: To evaluate the treatments used in patients diagnosed with
SARS-CoV-2 infection hospitalized in critical care service, through a
prescription indication study. Methods: A longitudinal observational
study of medication use, of the indication-prescription type with
elements of the therapeutic scheme and practical consequences, was
carried out. The sample was characterized from the sociodemographic,
clinical, and pharmacotherapeutic points of view. The prescription was
evaluated through the indicators: indication, therapeutic scheme,
treatment individualization, and drug combinations. The detected adverse
reactions were classified according to their causality by the Naranjo
Algorithm, their severity, their clinical significance, and according to
their mechanism by Rawlins and Thompson. Results: In the sample (N=77),
the male gender predominated (79%) between 27-59 years old (64%),
alcohol consumer (62%), hypertensive (33%) with long hospital stay
(51%). 417 medications were analyzed, being antibiotics (50.6%) being
the most prescribed. 73.4% of the therapeutic schemes were correct,
however, 26.6% had problems with the therapeutic schemes due to the use
of incorrect doses, intervals, and duration of treatment, as well as
risky interactions. Two probable adverse reactions were detected, mild,
non-serious, and type A and B according to Rawlins and Thompson.
Conclusions: The results obtained will allow the pharmaceutical
professional to create risk matrices that guarantee a timely
intervention in the health team to contribute to the rational and safe
use of medicines in patients infected with SARS-CoV-2.
The audiological characteristics of infant auditory neuropathy patients without otoacoustic emission: A retrospective clinical study
Authors: Wu Kaili , Lan Lan , Shi Wei , Li Jin , Xie Linyi , Xiong Fen , Wang Hongyang , Wang Qiuju
Published: June 2022

Objective: To explore the audiological characteristics of infant
auditory neuropathy (AN) patients with cochlear microphonic (CM)
recorded but no otoacoustic emission (OAE) response and clinically
reduce the rate of missed diagnosis of AN. Design: Retrospective
clinical study of medical data from 2003 to 2020. Setting:
Otolaryngology head and neck surgery clinical hearing center.
Participants: Eighteen infant AN patients with CM present and distortion
product otoacoustic emission (DPOAE) absent in both ears were OAE absent
group. Forty-four infant AN patients with CM and DPOAE present in both
ears were OAE present group. Main outcome measures: Audiological
characteristics. Results: 1. The age of onset in OAE absent group was
0.9 (0.02) years old, which was less than 1.11 (1.63) years old in OAE
present group (P=0.041). 2. The CM threshold of OAE absent group was 80
(10) dB nHL, which was significantly higher (P<0.001) than OAE
present group. CM amplitude were smaller (P<0.05), and CM
duration were shorter (P<0.05) in OAE absent group. 3. The
thresholds of auditory steady-state response (ASSR) at 0.5, 1, 2 and 4
kHz were 94 (10), 94 (10), 87 (20) and 81 (10) dB HL cg respectively in
OAE absent group, which were higher than those in OAE present group
(P<0.01). Conclusions: Infant AN patients with CM present and
OAE absent showed earlier onset, worse hearing level and worse CM
performance. The influencing factors and value of CM in AN patients
still need to be explored in the future.
Reducing the prevalence of antecubital fossa peripheral intravenous cannulation
Authors: Ruegg Leanne , Faucett Mark , Clawson Andrew , Subedi Shradha
Published: June 2022

Observational studies have found that placement of peripheral intravenous cannulas (PIVCs) in the antecubital fossa (ACF) is associated with increased risks of infection, including healthcare-associated Staphylococcus aureus bacteraemia (HA-SAB). Avoiding placement of the PIVC in the ACF area along with other preventive measures such as aseptic technique, staff education on documentation, standardised insertion packs and alerts for timely removal, may reduce the overall risk of acquiring an HA-SAB. Aim: To implement a multimodal awareness programme on ACF cannulas and the risk of infection, and to reduce PIVC-associated HA-SAB in one hospital in Australia. Method: The authors performed a baseline digital survey to identify root causes for clinical decision making related to PIVCs and to raise awareness of the project. The authors performed weekly audits and provided feedback on four key wards over 12 weeks. Simple linear regression was used to look at the trend of ACF cannulation rates overtime. HA-SAB rates were calculated per 10000 occupied bed days. Findings: Improved insertion documentation was observed during the intervention period. The ACF cannulation rates decreased by 0.03% per day during the study, although this did not quite reach statistical significance (P=0.06). There were no PIVC-associated SAB events during the intervention period. The SAB rates decreased by 0.02% per day over the period of the study.
Evaluating the accuracy of data extracted from electronic health records into MedicineInsight, a national Australian general practice database
Authors: Daniels Benjamin , Havard Alys , Myton Rimma , Lee Cynthia , Chidwick Kendal
Published: June 2022

IntroductionMedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. Previous research validated algorithms used to derive medical condition flags in MedicineInsight, but the accuracy of data fields following EHR extractions from clinical practices and data warehouse transformation processes have not been formally validated.
ObjectivesTo examine the accuracy of the extraction and transformation of EHR fields for selected demographics, observations, diagnoses, prescriptions, and tests into MedicineInsight.
MethodsWe benchmarked MedicineInsight values against those recorded in original EHRs. Forty-six general practices contributing data to MedicineInsight met our eligibility criteria, eight were randomly selected, and four agreed to participate. We randomly selected 200 patients ≥ 18 years of age within each participating practice from MedicineInsight. Trained staff reviewed the original EHRs for the selected patients and recorded data from the relevant fields. We calculated the percentage of agreement (POA) between MedicineInsight and EHR data for all fields; Cohen's Kappa for categorical and intra-class correlation (ICC) for continuous measures; and sensitivity, specificity, and positive and negative predictive values (PPV/NPV) for diagnoses.
ResultsA total of 796 patients were included in our analysis. All demographic characteristics, observations, diagnoses, prescriptions and random pathology test results had excellent (> 90%) POA, Kappa, and ICC. POA for most recent pathology/imaging test was moderate (81%, [95% CI: 78% to 84%]). Sensitivity, specificity, PPV, and NPV were excellent (> 90%) for all but one of the examined diagnoses which had a poor PPV.
ConclusionsOverall, our study shows good agreement between the majority of MedicineInsight data and those from original EHRs, suggesting MedicineInsight data extraction and warehousing procedures accurately conserve the data in these key fields. Discrepancies between test data may have arisen due to how data from pathology, radiology and other imaging providers are stored in EHRs and MedicineInsight and this requires further investigation.
Como lidar com a popularização do terraplanismo? Uma proposta a partir da filosofia da ciência de Susan Haack
Authors: Bertotti Thalyta Gonçalves
Published: June 2022

Este artigo tem como objetivo sugerir uma maneira de lidar com a recente popularização do terraplanismo. Os terraplanistas são, dessa forma, caracterizados a partir do documentário Behind the Curve e identificados como Novos Cínicos, conforme o trabalho de Susan Haack. Com base na discussão de problemas associados aos discursos Cínico e Deferencialista a respeito da ciência e também em trechos de Behind the Curve, este ensaio apresenta algumas preocupações em relação à crescente popularização do terraplanismo em contextos educacionais. Diante disso, este ensaio coloca a necessidade de uma explicação do motivo pelo qual o terraplanismo não deve ser ensinado nas aulas de ciências como uma teoria científica à altura de outras teorias regularmente ensinadas. Uma resposta possível é que o terraplanismo manifesta as principais características de uma teoria da conspiração, podendo ser caracterizado como uma crença falsa prejudicial injustificada. Este artigo argumenta, por fim, que um compromisso de professores de ciências e de filosofia com uma defesa da ciência em acordo com o Senso Comum Crítico de Haack é uma forma adequada de lidar com o terraplanismo.
Alasdair MacIntyre: sobre o bom e os bens entendidos em termos de florescimento humano
Authors: Sousa José Elielton de
Published: June 2022

Alasdair MacIntyre se propõe a retomar contemporaneamente um projeto ético substancialista, cujo modelo teórico é a “tradição clássica das virtudes” para a qual a noção de eudaimonia é um dos conceitos fundamentais. Tal projeto encontra-se explícito inicialmente em After Virtue, e, dado o caráter provisório dos resultados de sua reflexão, posteriormente corrigido e aperfeiçoado em Dependent Rational Animals e, mais recentemente, Ethics in the Conflicts of Modernity. No entanto, ao examinar tais obras, podemos perceber que a compreensão macintyriana do bem humano sofre alterações profundas ao longo desse processo de reabilitação da tradição clássica das virtudes. Assim, se em After Virtue MacIntyre apresenta um conceito de bem humano interno às diversas práticas sociais nas quais o ser humano se acha envolvido, prescindindo da biologia metafisica de Aristóteles, em Dependent Rational Animals, com o giro tomista em sua filosofia, ele corrige tal compreensão, passando a aceitá-la parcialmente até alinha-la plenamente à perspectiva tomista em Ethics in the Conflicts of Modernity. O presente trabalho visa explicitar os elementos teóricos envolvidos nesse processo de mudança, por parte de MacIntyre, de uma explicação socialmente teleológica para uma explicação biologicamente teleológica do bem humano nas obras acima mencionadas.
A tragédia e o trágico da ação na ética hermenêutica de Paul Ricoeur
Authors: Carneiro José Vanderlei
Published: June 2022

Este artigo visa apresentar uma discussão sobre a tragédia grega e o trágico da ação juntamente com suas implicações na ética narrativa de Paul Ricoeur; a demonstrar um quadro teórico apresentando outros pensadores que desenvolveram posições, argumentos e teorias acerca da tragédia e do trágico. Também, considera-se neste texto, averiguar termos conceituais como: “divino”, “teologia”, “conflito” e “transcendência”, com intuito de saber seus vínculos com a ética. Desse modo, são utilizados três textos de Ricoeur presentes nas obras – A simbólica do mal, Leituras 3: nas fronteiras da filosofia e O si-mesmo como outro. Por fim, importa verificar algumas lentes interpretativas na relação entre tragédia e trágico com a ética e em que medida ocorre aproximações e distanciamentos de tais questões.