bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH STRUKTUR MODAL, SIZE, DAN TANGIBILITY TERHADAP KINERJA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI
Authors: Jesslyn Gracia , Susanti Merry
Published: February 2023

This study aimed to empirically identify the effect of capital structure, size and tangibility on firm performance of manufacturing industry listed in Indonesia Stock Exchange (IDX). This study used purposive sampling with a total sample of 75 manufacturing companies listed on Indonesia Stock Exchange over the period of 2016-2018. Data processing in this research used multiple regression analysis with the help of SPSS program (Statistical Product and Service Solution) and Microsoft Excel 2013. The results showed that STD / TA and LTD / TA had no effect on firm performance, TD / TA and tangibility had a negative effect on firm performance, while size had a positive effect on firm performance. The implication of this study is when manufacturing companies listed in the IDX has the right capital structure and asset management, then the firm performance can be improved.
Problem-Based Learning model in improving critical thinking ability of elementary school students
Authors: Susilawati Samsul , Supriyatno Triyo
Published: February 2023

So far, elementary schools have found problems with students' critical thinking skills, which could be improved by implementing thematic learning, so a learning model is needed to train students' critical thinking skills. The purpose of this study was to analyze whether there were differences in the level of effectiveness of the Problem-Based Learning model in improving critical thinking skills in thematic learning of students in grade IV SD/MI, namely SDN II Weringinanom Poncokusmo Malang, East Java, Indonesia. This type of research is Classroom Action Research using qualitative and quantitative approaches. The subjects used in the study were class IV teachers and 46 students. The results showed an increase from cycle I to cycle II. The implementation of the teacher cycle I was 80.73%, increasing to 91.76% in cycle II and 85.09%, increasing to 92.96% in cycle II on student implementation. Thus, the Problem-Based Learning model has improved integrated thematic learning in fourth-grade students at SD SDN II Weringinanom Poncokusmo Malang, East Java, Indonesia.
AVALIAÇÃO DO CONSUMO ALIMENTAR E ESTADO NUTRICIONAL DE CRIANÇAS MENORES DE DOIS ANOS DE UMA COMUNIDADE QUILOMBOLA
Authors: Lima Maria Raquel da Silva , Vasconcelos Carliane Vanessa Souza , Vasconcelos Lizandra Tereza de Souza , Vieira Camila Araújo Lopes , Oliveira Eliany Nazaré , Vasconcelos Francisca Denise Silva
Published: February 2023

A Vigilância Alimentar e Nutricional é uma das diretrizes da Política Nacional de Alimentação e Nutrição, sendo considerada essencial para a atenção nutrição e monitoramento do estado nutricional e das práticas de consumo alimentar, possibilitando o reconhecimento de alimentos ou comportamentos que se relacionam à alimentação saudável e não saudável para fornecer subsídios para o planejamento e organização do cuidado. O objetivo deste estudo foi avaliar o consumo alimentar e o estado nutricional de crianças de 0 a 23 meses que residem na Comunidade Quilombola de Córrego dos Iús-CE. O percurso metodológico trata-se de um estudo do tipo pesquisa-intervenção, que consistiu em uma tendência das pesquisas participativas que busca compreender a vida de coletividades na sua diversidade qualitativa. Identificamos 11 crianças, menores de dois anos na comunidade. Devido às perdas, às recusas ou à ausência do responsável no domicílio, a amostra estudada foi composta por 9 participantes. A partir da avaliação antropométrica, verificamos os agravos nutricionais mais importantes foram o peso elevado para idade (44.4%), risco de sobrepeso para estatura e obesidade para estatura apresentaram respectivamente (11.1%), sobrepeso para IMC por idade (11.1%). Os achados sugerem que a população estudada esteja passando por uma transição nutricional. Nossa pesquisa nos permitiu perceber que as crianças pertencem as famílias de baixo poder econômico. É necessário a consolidação de políticas públicas para melhorar a saúde da comunidade estudada.
PLACENTA PRÉVIA: UM ESTUDO BASEADO NAS TEORIAS DE ENFERMAGEM
Authors: Almeida Hélida Maravilha Dantas e Sousa , Assis Alessandra Emilly Pinto de , Dantas Alison Rener Araújo , Nascimento Arydyjany Gonçalves , Silva Maria Fernanda Bandeira da , Silveira Maria Laryssa Monte da , Barrozo Maria Nadiana Veríssimo , Maia Mylena da Silva , Sousa Viviane Fernandes de , Casimiro Maria Raquel Antunes
Published: February 2023

Introdução: A gestação, apesar de ser um processo fisiológico na saúde da mulher, é uma etapa complexa que exige atenção diferenciada na assistência à saúde. Outrossim, existem algumas condições que provocam danos durante essa fase, como a placenta prévia. Objetivo: Este estudo tem como escopo evidenciar o processo de enfermagem frente à assistência à gestante com tal diagnóstico. Metodologia: A pesquisa tem caráter qualitativo, teórico com subsídio na bibliografia científica, envolvendo a compreensão holística e integral da paciente para a implementação de estratégia para o processo de enfermagem. A partir do estudo das teorias e da fisiopatologia e impactos clínicos, empregou-se as taxonomias do NANDA-I para traçar os diagnósticos de enfermagens mais condizentes. Resultados: Foram identificados 15 diagnósticos que contemplaram os dez domínios encontrados no NANDA. Considerações Finais: Os dados eleitos e o confronto com a literatura enfatizam a relevância positiva na prescrição de diagnósticos de enfermagem na escolha dos cuidados prestados e as teorias subsidiam a assistência materno-fetal.
AMBIENTE DE TRABALHO SEGURO E SUSTENTÁVEL: COMO A ERGONOMIA DE CONSCIENTIZAÇÃO E PARTICIPATIVA SE APLICA AOS SERVIDORES PÚBLICOS?
Authors: Cunha Jacqueline de Assis , Silva Matheus Mello , Casagrande Cynthia Mara Zilli , Ferreira Arthur de Sá
Published: February 2023

Introdução: As práticas ergonômicas de conscientização e de participação assumem importante papel na prevenção das doenças ocupacionais. Entretanto, os métodos utilizados pelos programas de prevenção das instituições e empresas visam a correção dos riscos ergonômicos, não observando o fator humano detentor da execução da tarefa. Objetivo: Analisar a utilização das Ergonomia de Conscientização e Participação como programa de educação visando a prevenção primária e a conscientização dos riscos ergonômicos das lesões por esforço repetitivo (LER) e distúrbios osteomusculares relacionadas ao trabalho (DORT). Metodologia: Revisão crítica de literatura, sintetizando o embasamento teórico pertinente ao tema, com documentação técnica, normas, decretos, portarias e dados estatísticos atualizados de afastamento; formando, assim, à análise documental. Resultados e Discussão: Os dados estatísticos mostram a importância de uma mudança nos hábitos, nos programas e nas intervenções ergonômicas no ambiente laboral do trabalhador, visando minimizar os impactos socioeconômicos dos altos índices de afastamento para organizações, empresas privadas e, principalmente, serviços públicos de ensino superior devido a maior precariedade dos ambientes de trabalho. Práticas ergonômicas de conscientização e participação dos trabalhadores podem proporcionar uma melhora nos desconfortos do ambiente laboral. Ressalta-se a escassez de pesquisas que priorizem a relação custo-benefício e a eficácia a longo prazo na área de Ergonomia. Conclusões: Novas análises devem ser observadas para promover melhora da qualidade de vida do trabalhador, diminuição das perdas econômicas, contribuindo para um trabalho seguro, decente e sustentável como preconiza principalmente o Objetivo 8 da Agenda 2030 da Organização das Nações Unidas.
La investigación sobre la inteligencia emocional en los últimos 20 años (2001-2021). Un estudio bibliométrico.
Authors: Paramio Alberto , Romero-Moreno Antonio , González-del-Pino Carlos
Published: February 2023

Objetivo: Este artículo reporta el primer análisis bibliométrico de los temas de investigación de la inteligencia emocional, que muestra su estructura conceptual y evolución científica.

Métodos: Para el análisis se utilizó Science Mapping Analysis Software Tool, una herramienta bibliométrica de mapeo de la ciencia basada en el análisis de co-palabras, utilizando una muestra de 8.884 documentos de investigación publicados desde 2001 hasta 2021 en las revistas indexadas en el Journal Citation Reports de la Web of Science.

Resultados: Las investigaciones publicadas sobre inteligencia emocional se concentraron en los siguientes temas principales: personalidad, rendimiento académico y laboral, satisfacción vital, estrés y cognición social. Estos temas se diversifican a lo largo de los años. Los adolescentes y los estudiantes fueron las principales muestras sobre las que se estudió la inteligencia emocional.

Conclusiones. Los principales temas de investigación en inteligencia emocional han ido cambiando de forma constante a lo largo del tiempo en cuanto a importancia y número de publicaciones. Esto nos anima a mantener una visión positiva del desarrollo del campo de la investigación en inteligencia emocional y a hacer un llamamiento a su seguimiento mediante el uso de técnicas de meta investigación como el presente estudio bibliométrico.
revisão do tratamento da esquizofrenia: monoterapia vs associação de antipsicóticos
Authors: Bertoni Rafaela Albuquerque , Leal Fellipe Miranda
Published: February 2023

Introdução: O tratamento farmacológico da esquizofrenia com a associação de antipsicóticos é uma prática bastante comum, ainda que não haja evidências científicas consolidadas que a fundamentem, tampouco haja orientação nesse sentido, nas diretrizes de tratamento clínico. Objetivo: Avaliar os benefícios e os riscos do uso da associação de antipsicóticos em comparação ao uso de antipsicótico em monoterapia para o tratamento de esquizofrenia. Metodologia: Foi realizada uma revisão na literatura em busca de estudos científicos que comparassem o uso de antipsicóticos em monoterapia com a associação de antipsicóticos para o tratamento da esquizofrenia. Resultados: Na maioria dos estudos não houve diferenças no controle de sintomas entre os grupos. No entanto, observou-se menor frequência de reagudizações de sintomas e redução das hospitalizações nos pacientes em tratamento com antipsicótico em monoterapia. Além disso, houve menos efeitos adversos em pacientes com essa opção terapêutica. A adesão foi menor com a troca do tratamento com associação de antipsicóticos para antipsicótico em monoterapia. Porém a mudança foi bem tolerada, sendo que, em quase todos os pacientes, foram observados resultados favoráveis. Conclusões: O tratamento da esquizofrenia e do transtorno esquizoafetivo com antipsicótico em monoterapia apresenta um controle de sintomas semelhante ao tratamento com associação de antipsicóticos. Entretanto, em monoterapia é menor a ocorrência de efeitos colaterais, reagudizações e hospitalizações. Portanto, esta revisão reforça que, na prática clínica, o tratamento farmacológico da esquizofrenia, assim como do transtorno esquizoafetivo, deve priorizar uso de antipsicóticos em monoterapia.
Refractoy psychosis after mRNA COVID-19 vaccine
Authors: Neves Mariel Vendramel , Simon Jessica Jamile , Henna Neto Jorge , Hübner Carlos von Krakauer , Henna Elaine
Published: February 2023

Introduction: The vaccination against SARS-CoV-2 has shown efficacy in decreasing morbidity and mortality. There are several systemic side effects and some neuropsychiatric manifestations described. Case report: A 38-year-old woman was admitted to the Psychiatry of the Conjunto Hospitalar de Sorocaba presenting disorganized behavior and aggressiveness. Six months ago, she received the first dose of the mRNA vaccine for COVID-19 and, around 24 hours later, had systemic adverse effects followed by aggressiveness and delusional thinking of persecutory nature. She had no past clinical or psychiatric reports. Previously, she was perfectly functional. We performed an extensive clinical-laboratorial investigation, and all tests were negatives. Several pharmacological therapies with antipsychotics and mood stabilizers were used, but after more than four months of hospitalization, the improvements observed were just in orientation and behavior, remaining with symptoms of psychosis. Discussion: This is the first report of refractory psychosis after COVID-19 immunization with no improvement of symptoms; there have been related psychoses after COVID-19 immunization. It is suggested that the psychosis occurs by the intense cytokine storm, leading to a high pro-inflammatory status. It is hypothesized that vaccination causes a strong immune response against the SARS-CoV-19; therefore, similarly mechanisms could underlie the psychosis after COVID-19 immunization.
Forming Dataset of The Undergraduate Thesis using Simple Clustering Methods
Authors: Tio Dharmawan  , Chinta ’Aliyyah Candramaya  , Vandha Pradwiyasma Widharta
Published: February 2023

Each university collects many undergraduate theses data but has yet to process it to make it easier forstudents to find references as desired. This study aims to classify and compare the grouping ofdocuments using expert and simple clustering methods. Experts have done ground truth using ORBoolean Retrieval and keyword generation. The best cluster was discovered by the experiments usingthe K-Means, K-Medoids, and DBSCAN clustering methods and using Euclidean, Manhattan, CityBlock, and Cosine Similarity metrics. The cluster with the best Silhouette Score compared to theaccuracy of the categorization of each document. The K-Means clustering method and the CosineSimilarity metric gave the best results with a Silhouette Score value of 0.105534. The comparisonbetween ground truth and the best cluster results shows an accuracy of 33.42%. The result shows thatthe simple clustering method cannot handle data with Negative Skewness and Leptokurtic Kurtosis.
Scheduling Splitable Jobs on Identical Parallel Machines to Minimize Makespan using Mixed Integer Linear
Authors: Ayudita Oktafiani
Published: February 2023

The scheduling of parallel machines with and without a job-splitting property, deterministic demand,and sequence-independent setup time with the goal of minimizing makespan is examined in this work.For simultaneous processing by multiple machines, single-stage splitable jobs are broken into random(job) sections. When a job starts to be processed on a machine, an operator has to setup the machinefor an hour. By creating two Mixed Integer Linear Programming models, this work proposes amathematical programming strategy (MILP). A MILP model takes the job-splitting property intoaccount. Another model, however, does not include the job-splitting property. This study investigatesthe performance of the proposed models using Gurobi solver. These programs' numerical calculationsare based on actual problems in the Indonesian city of Bandung's plastics industry. On four identicalparallel injection molding machines, 318 jobs must be finished in 22 periods. The real schedulingmethod is contrasted with these two MILP models. The maximum workload imbalance, the maximumrelative percentage of imbalance, and the makespan of these three scheduling systems are used toevaluate their effectiveness. Without the job-splitting property, MILP can handle the real issue ofscheduling identical parallel machines on injection molding machines to reduce makespan, resultingin a 36% average decrease. The MILP model's job-splitting property can reduce makespan by anadditional 2.40%. The order of relative ranking is MILP with job-splitting property, MILP withoutjob-splitting property, and actual scheduling based on the makespan minimization, workloadimbalance, and relative percentage of imbalance.
Work and Childcare Role Conflicts of Working Mothers Under the Condition of Social Distancing Caused by the COVID-19 Pandemic in Vietnam
Authors:   University of Sciences, Hue University, Vietnam, Châu Lê Đăng Bảo , Hiếu Lê Nam Trung ,   International School of Hue University, Vietnam, Minh Nguyễn Hồng Tiểu ,   International School of Hue University, Vietnam
Published: February 2023

This study investigates the work and childcare role conflicts among working Vietnamese female laborers during the period of social distancing caused by the outbreak of COVID-19 in Vietnam by employing the theory of work and family conflict as a theoretical framework to figure out the dimensions of strife. By analyzing qualitative data collected from 15 working Vietnamese mothers selected by applying the snowball sampling method, this study shows that the work and childcare role conflicts among Vietnamese women are manifested in three aspects: (1) the lack of time to fulfill expected roles, leading to (2) the state of role strain that is, in turn, considered as the cause of (3) the emergence of inappropriate behaviors with corresponding roles. The findings also reveal that accepting role conflicts as temporary difficulties is one of the solutions for women to overcome hardships during the period of social distancing. In addition, working mothers resolve disputes through their efforts without the demand for reassigning responsibilities in the family to distribute house chores equally to their husbands.
Impact of Airframe–Propulsion System Modeling Strategies on Key Structural Performance Metrics
Authors: Colbert Stephen , Quinn Damian , Nolan Declan C. , Fox Rob , Gaskell Jill
Published: February 2023

Whole-aircraft coupled aerodynamics, flight dynamics, and structural dynamics models are commonly employed during the aircraft design process, generally increasing in fidelity, and associatively accuracy, as the design matures. While literature acknowledges the impact of explicitly representing the propulsion system in such models, it does not address the impact of structural idealizations on key metrics that inform early conceptual design. This paper investigates the impact of a range of propulsion system structural modeling strategies and their attendant idealizations on the accuracy with which key structural performance metrics may be acquired. A conventional tube-and-wing airframe with under-wing-mounted, high-bypass-ratio, turbofan propulsion systems is employed as a verification case. The lowest-fidelity modeling strategies defined herein are capable of acquiring airframe loads and vertical power plant center-of-mass inertial loads within [Formula: see text]. Higher-fidelity, predominantly 2D strategies are necessary for acquisition of propulsion system displacements, deformations, and power plant swing frequency within [Formula: see text] of a global finite element model. However, sufficient data must be available to allow the construction of higher-fidelity strategies during early design stages.
Proof-of-Concept Study of Flexible Lattice Variable Sweptback Wing
Authors: Chengyang Lu , Xiaotian Zhang , Ruizhi Li , Tiandong Xie
Published: February 2023

This paper presents a flexible lattice variable sweptback wing (FLVSW) concept based on the flexible main beam and lattice that allows the sweptback angle to be varied by 80 deg. The whole FLVSW concept is an integral structure consisting of rigid and flexible parts. The rigid parts are the wing ribs that maintain the shape of the wing and transfer the aerodynamic loads. The flexible parts are mainly composed of the flexible main beam and the flexible lattice, which meet the requirements of supporting aerodynamic loads and deformation of the wing. The surface of the FLVSW is divided into parallel partitions by the wing ribs, and each partition is closed by superimposed skin strips. A prototype model was designed and manufactured based on the Talon first-person-view (FPV) platform performance parameters and considering the finite element analysis of the FLVSW concept under the effect of the drive mechanism and aerodynamic loads. Through testing the structural response of the manufactured prototype model under the driving and static deadweight loads, it was demonstrated that the structure could be driven smoothly and exhibited no deleterious deformations at various sweep angles. In this way, the feasibility of the FLVSW drive mechanism and the design process was verified.
Reduced-Order Comparison of Simulated and Measured Coalescing Mach Waves near Supersonic Jets
Authors: Willis William A. , Cormack John M. , Tinney Charles E. , Hamilton Mark F.
Published: February 2023

Prior measurements of the sound field produced by a laboratory-scale, Mach 3 jet flow (Baars and Tinney, Journal of Sound and Vibration, Vol. 333, No. 12, 2014, pp. 2539–2553; Fiévet et al., AIAA Journal, Vol. 54, No. 1, 2016, pp. 254–265) suggest that acoustic waveforms steepen early on in their development. This explained the discrepancy between theoretical predictions, based on effective Gol’dberg numbers, that shocks should not form, and observations of steepened Mach waves close to laboratory-scale jets. The present work continues studying this phenomenon by exploring coalescence processes that occur when neighboring waveforms intersect, forming larger-amplitude waveforms with increased cumulative nonlinear distortion. A numerical model based on the Khokhlov–Zabolotskaya–Kuznetsov (KZK) equation is developed to show that coalescence-induced steepening is sensitive to the intersection angle between adjacent waveforms, waveform duration, and cylindrical spreading effects. High frame-rate schlieren images of sound waves propagating from the post-potential core region of a laboratory-scale Mach 3 jet are then captured along an angle following the ridge of most intense noise to study the development and evolution of coalescence. A shock detection algorithm isolates shock-like events, which are tracked using a translating coordinate system and decomposed using proper orthogonal decomposition. Reduced-order reconstructions of both schlieren images and the KZK model identify common patterns that characterize the shock coalescence process.
Toward More General Turbulence Models via Multicase Computational-Fluid-Dynamics-Driven Training
Authors: Fang Yuan , Zhao Yaomin , Waschkowski Fabian , Ooi Andrew S. H. , Sandberg Richard D.
Published: February 2023

The accuracy of machine-learned turbulence models often diminishes when applied to flow cases outside the training data set. In an effort to improve the predictive accuracy of data-driven models for an expanded set of cases, an extension of a computational fluid dynamics (CFD)-driven training framework consisting of three key steps is proposed. Firstly, a list of candidate flow-related parameters is selected to supplement Pope’s general tensor basis hypothesis. Secondly, modeling an additional production term may benefit the overall predictions in certain situations. Finally, the Reynolds-averaged Navier–Stokes (RANS) evaluations of candidate models are performed on several different flows simultaneously during the model training iterations. Five free-shear and five wall-bounded flow cases are chosen to train or test data-driven turbulence models. It is shown that the machine-learned models from the present multicase CFD-driven framework can significantly improve the predictive accuracy for the test cases where the baseline RANS results showed significant error from the ground truth. Meanwhile, for cases in which the baseline produced good results, the new models do not perform worse. Further analysis shows that the new models can adapt to opposite trends of turbulent diffusion required for the different cases with a common correction. Moreover, the trained models can be simplified and still achieve similar improvement as the whole expressions.
Efficient Parallel Dynamic Overset Unstructured Grid for Flow Simulation with Moving Bodies
Authors: Tian Shu-Ling , Xu Ke , Xia Jian , Chen Long
Published: February 2023

The overset grid method for simulation of unsteady flow with moving bodies faces several issues, including low assembly efficiency for a large number of bodies, difficult parallel implementation, and the requirement of manual intervention. To address these issues, in this paper, we develop an efficient, automatic, and robust parallel dynamic overset-unstructured-grid assembly method. It is achieved by parallelizing its two main steps: hole cutting, and identification of interpolation stencils. The hole cutting is simply implemented in parallel by identifying the active zone of each grid with a criterion of the global minimum wall distance. The global minimum wall distance is efficiently calculated on each process with the oriented-bounding-box-based [Formula: see text]-dimensional ([Formula: see text]-D) trees of the wall surface grids. For identification of the interpolation stencil, we use the results of the first step, optimally define the interpolation boundary nodes, and determine their candidate donor partitions in each process. This efficiently minimizes the number of query nodes and their donor cell candidates. The donor cell search is efficiently performed in parallel in each candidate donor partition by using the oriented-bounding-box-based [Formula: see text]-D tree of the field volume grid. Several cases are adopted to test the efficiency and capability of the proposed parallel dynamic overset-unstructured-grid assembly approach.
“The Place Where My Body Longed to Go”: Metaphors of Sexual Desire in André Aciman’s Prose
Authors: Nagornaya A. V.
Published: February 2023

Sexual desire is one of the fundamental components of human personality and is seen as an important research object in contemporary Humanities. Its relevance for Linguistics lies in the increasing interest in the verbal representation of various forms of subjective experience, as well as in a large-scale discursivization of sexuality in contemporary culture and the need for developing a highly promising line of research known as ‘Language and Sexuality’. The present research focuses on metaphor with the aim of proving that it is an efficient mechanism of objectifying, structuring, interpreting, and verbalizing the subjective experience of sexual desire. The research is carried out on the basis of three thematically relevant novels by the contemporary American writer André Aciman (“Call Me by Your Name”, “Enigma Variations”, and “Find Me”). It is based on a sample of 364 contexts. Methodologically the research rests upon the Conceptual Metaphor Theory, which facilitates the analysis of the ways fragments of subjective experience are comprehended and provides systematicity in the study of this phenomenon. The specific methodological instruments employed in this research include: the career of metaphor theory, which substantiates the inclusion of similes in metaphor analysis; the metaphoric landscape theory, which enables us to systematize metaphors by identifying central and peripheral elements and defining their conceptual load; the metaphorical creativity theory, which proves the possibility of metaphorical innovations both at the conceptual and verbal levels. The paper identifies and analyzes ten groups of metaphors, nine of which regularly occur in Aciman’s prose and one of which is made up of unique isolated forms. It has been shown that contrary to the popular belief that sexuality discourse is dominated by the fire metaphor, the central element of the metaphoric landscape of sexual desire in Aciman’s texts turned out to besexual desire is movement in space. Among the most creative and regularly occurring ones are the metaphorssexual desire is a financial transactionandsexual desire is music. Within each of the identified groups the paper pinpoints the properties of the source domain that are being profiled, analyzes ways of their verbal representation, and discusses the possibility of conceptual and verbal variation. The research is qualitative and does not presuppose a statistical analysis of the metaphors.
Lullabies and Algys in the Semiosphere of the Sakha Culture: Linguistic Aspect
Authors: Kuzmina A. A.
Published: February 2023

The article analyzes the language and cultural code of lullaby songs and maternity incantations (algyss) which belong to the oldest layer of the Yakut folklore. The addressees are the patron goddesses of clans Aiysyt and the guardian goddesses Ieyekhsit. Understanding of the cultural text language leads to the finding of prototypical conceptual meanings in the consciousness of the ancient Sakha. The novelty of the research lies in the identification of the sign nature of lullabies and incantations, which until now have not been the subject of interest for the Yakut linguists. The aim of the paper is to analyze the semiotic signs and symbols of lullaby songs and maternity spells in semiosphere of the Sakha culture. The article is based on archival materials and published folklore texts. Archaic texts are endowed with magical functions: procreative and apotropaic. In the ritual songs, especially in the rites of transition, both the action code and the sound code (moaning, sound repetitions, the manner of singing: diyeretiya or daegeretiyaҥ) are combined and coexist. Sound behavior in the house of a woman in labor during and after the delivery is strictly regulated. Special sacredness is expressed by allegorical messages about the approach of childbirth, which are expressed by the time code. A syntagmatic series of auspicious signs is presented: the numerical characteristic is joined by color and spatial ones, which model the theme of creation of the Universe and Man. The theme of creation is presented through the technological code of making the cradle. The ambivalence of archaic representation generated by the anthropic functions time/birth, our own/foreign, up/down, and death/life is observed. The symbol of the child is traditionally an egg and a bird, as for gender terms, the symbol of a boy is a knife, the symbol of a girl is a scissor. Wishes for the child’s good fortune are displayed by the concept of cold, which preserves the fact of the negative attitude of the Sakha people from the south to the northern Arctic climate. The sound song code is expressed by a set of cultural codes: the action code, which is defined as a set of ritual and ceremonial actions to achieve the hearing of the patron goddess of childbirth; the time code, corresponding to the three-dimensional universe; the spatial code, represented by the eight-member horizontal and nine-tier vertical model. Sign systems of folk culture functioning in lullabies and incantations are inseparable from their pragmatics. They are “folded messages” which eventually represent archetypal beliefs of ancient Sakha, which are deciphered as a result of semiotic and linguistic research.
The Leading Function Analysis of Confucius Institute Linguistic Landscape in Teaching Standard Chinese to International Learners
Authors: Fu W. , Liu Z.
Published: February 2023

This paper is based on the Scollon & Scollon’s place semiotics framework combined with the Kress & van Leeuwen’s multimodal theory and Sockett and other scholars’ informal learning theories. By means of qualitative and quantitative methods, the leading function of the Confucius Institute linguistic landscape in teaching Chinese to foreigners is analyzed. It is shown that the Confucius Institute linguistic landscape plays a leading role at the initial stage of the Chinese language acquisition. This role is based on the main function of the Confucius Institute and is manifested in three mechanisms: attracting attention, shaping an image, and stimulating further learning of Chinese. The results show that to be effective in international communication, mastering Chinese should not be limited to classroom teaching, but it should also focus on various language practices outside the classroom. The linguistic landscape of the Confucius Institute serves as a supplement to classroom teaching, and the visual space it provides is obviously different from that of Chinese textbooks and test papers which are mainly focused on text reading. In addition to keywords, linguistic landscapes also provide other symbolic means, such as multimodal visual media, image symbols, plate-like structures, and color patterns. This pioneering method of teaching can greatly enhance foreign students’ cognition and understanding of the Chinese culture and their interest in learning Chinese. Linguistic landscape and Chinese classroom teaching complement each other in teaching Chinese internationally. To sum up, this research focuses on the leading function of the Confucius Institute linguistic landscape, attempting to explore its mechanism and role in the international spread of the Chinese language.
Motivation of Individuals to Install Medical Applications: Analysis of the Open Text Data Using Machine Learning Methods
Authors: Chizhik A. V.
Published: February 2023

This paper describes the results of the open text data study, and on the basis of these data the features of the communicative interaction of individuals with mobile applications have been identified. Using the method of automatic data collection and analysis, 150 applications from the Google Store were analyzed in order to highlight the facts that motivate an individual’s entry into a communicative act with a mobile application. The article provides visualization of the text structures. Based on the data obtained, it was possible to identify the main characteristics of the communicative interaction of a user with the application; in particular, some hypotheses were put forward regarding the linearity of the communicative model used by individuals.
Attitudes of Lazarski University Medical Students towards Disaster Medicine; Questionnaire Survey
Authors:   Department of Emergency Medicine, Faculty of Medicine, Lazarski University, Warsaw, Poland, M Madziała , A Madziała ,   Department of Emergency Medicine, Faculty of Medicine, Lazarski University, Warsaw, Poland, K Piotrowska ,   Department of Emergency Medicine, Faculty of Medicine, Lazarski University, Warsaw, Poland, K Złotorzyńska ,   Department of Emergency Medicine, Faculty of Medicine, Lazarski University, Warsaw, Poland, L Jabłońsk ,   Department of Faculty of Medicine, Lazarski University, Warsaw, Poland, P Olszewski ,   Department of Faculty of Medicine, Lazarski University, Warsaw, Poland, I Gołębiak ,   Department of Emergency Medicine, Faculty of Medicine, Lazarski University, Warsaw, Poland
Published: February 2023

Background: The paper presents issues related to the deficit in medical student training in the field of disaster medicine. According to Polish medical educational standards, there is no obligation imposed by the legislator to educate future doctors in disaster medicine. However, there is the university’s authorial capacity, which, as exemplified by Lazarski University in Warsaw, has been successfully implemented for teaching students disaster medicine and has demonstrated effectiveness in education in this field. Methods: The study was conducted by means of a diagnostic survey method, using an authorial survey questionnaire. A total of 168 medical students between 2020 and 2022 took part in the survey. The questionnaire contained 10 questions, one- and multiple-choice ones, of which one was about self-assessment. Students completed the questionnaire twice, before and after the disaster medicine course. Conclusion: The results clearly indicate the need for educational standards for issues related to disaster medicine, especially for faculties of medicine, where future doctors will be trained to deal with large numbers of casualties. Students manifest the need for such courses during their studies and as part of postgraduate training.
Development and Validation of a Chemoinformatic Workflow for Predicting Reaction Yield for Pd-Catalyzed C-N Couplings with Substrate Generalizability
Authors: Rinehart N. Ian , Saunthwal Rakesh K. , Wellauer Joël , Zahrt Andrew F. , Schlemper Lukas , Shved Alexander S. , Bigler Raphael , Fantasia Serena , Denmark Scott E.
Published: February 2023

A machine learning-based tool that provides conditions and predicted yields for Buchwald-Hartwig couplings from a ChemDraw™ structure input is described. The tool is built on an in-house generated experimental dataset that explores a diverse network of reactant pairings. To minimize the number of experiments necessary to produce models and maximize data value, a workflow based on unsupervised machine leaning tools was created. The workflow enables the construction of models which can successfully generalize—making predictions for reactants which are not represented in the dataset.
An amorphous phase precedes crystallization; unraveling the colloidal synthesis of zirconium oxide nanocrystals
Authors: Pokratath Rohan , Lermusiaux Laurent , Checchia Stefano , Mathew Jikson Pulparayil , Cooper Susan Rudd , Mathiesen Jette Katja , Landaburu Guillaume , Banarjee Soham , Tao Songsheng , Reichholf Nico , Billinge Simon J. L. , Abecassis Benjamin , Jensen Kirsten M. Ø. , De Roo Jonathan
Published: February 2023

One can nowadays readily generate monodisperse colloidal nanocrystals, but the underlying mechanism of nucleation and growth is still a matter of intense debate. Here, we combine X-ray pair distribution function (PDF) analysis, small angle X-ray scattering (SAXS), nuclear magnetic resonance (NMR), and transmission electron microscopy (TEM) to investigate the nucleation and growth of zirconia nanocrystals from zirconium chloride and zirconium isopropoxide at 340 °C, in the presence of surfactant. We find that initially, many amorphous particles are formed. Over time, the total particle concentration decreases while the amorphous particles recrystallize into ZrO2 nanocrystals. After a sudden increase, the concentration of nanocrystals stays constant over the course of the reaction. Both findings stand in contrast to reports of continuous nucleation in other surfactant-assisted nanocrystal syntheses. The non-classical nucleation is likely related to the precursor decomposition rate that is an order of magnitude higher than the observed crystallization rate. Comparing different zirconium precursors, we observe higher smaller particles for reactions with ZrBr4 or with Zr(OtBu)4, which we could correlate with a higher precursor decomposition rate.
Examining molecular factors of inactive versus active bivalent EGFR inhibitors: A missing link in fragment-based drug design.
Authors: Wittlinger Florian , Ogboo Blessing C. , Pham Calvin D. , Schaeffner Ilse K. , Chitnis Surbhi P. , Damghani Tahereh , Beyett Tyler S. , Rasch Alexander , Buckley Brian , Urul Daniel A. , Shaurova Tatiana , May Earl W. , Schaefer Erik M. , Eck Michael J. , Hershberger Pamela A. , Laufer Stefan A. , Heppner David E.
Published: February 2023

The optimization of linkers that connect fragments within drug binding sites represents an impediment in fragment-based drug discovery (FBDD). To improve our understand of the molecular factors that enable effective fragment linking, we have produced a series of compounds that bind to the ATP and allosteric sites of the EGFR kinase domain connected by two distinct linker structures. We find the linker is responsible for opposing impacts on potency against EGFR mutants, the most potent of which are active in human cancer cells. Comparison of X-ray cocrystal structures of active versus inactive molecules provide unique experimentally derived insights into linker design criteria such as how fragment flexibility and intermolecular interactions can serve compound design broadly in drug optimization.
Growth and Passivation of Individual Carbon Nanoparticles by C2H2 addition at High Temperatures: Dependence of Growth Rate and Evolution on Material and Size
Authors: Lau Chris , Rodriguez Daniel , Friese Abigail , Anderson Scott
Published: February 2023

Absolute kinetics for reactions of C2H2 with a series of ~60 individual carbon nanoparticles (NPs) from graphite, graphene, graphene oxide, carbon black, diamond, and nano-onion feedstocks were measured for temperatures (TNP) ranging from 1200 to 1700 K. All the NPs were observed to gain mass by carbon addition under conditions that varied with feedstock, but with large variations in initial growth rate. Long reaction periods were studied to allow the evolution of the growth rates over time to be observed, and three distinct growth modes were observed, correlated with the initial NP mass (Minitial). The smallest NPs, with masses < ~25 MDa, initially grew rapidly but also passivated quickly after adding < 4% of Minitial. NPs in the 20 to 50 MDa range also passivated, but only after multiple waves of fast growth separated by periods of low reactivity, with up to ~11% total mass gain before passivation. The largest NPs, with Minitial > 50 MDa grew rapidly and continuously, adding up to ~300% of Minitial with no sign of rate slowing as long as C2H2 was present. The efficiencies for C2H2 addition and etching by O2 are strongly correlated, but the correlation changes as the NPs passivate. Growth and passivation mechanisms are discussed.
Improving Molecular Machine Learning Through Adaptive Subsampling with Active Learning
Authors: Wen Yujing , Li Zhixiong , Xiang Yan , Reker Daniel
Published: February 2023

Data subsampling is an established machine learning pre-processing technique to reduce bias in datasets. However, subsampling can lead to the removal of crucial information from the data and thereby decrease performance. Multiple different subsampling strategies have been proposed, and benchmarking is necessary to identify the best strategy for a specific machine learning task. Instead, we propose to use active machine learning as an autonomous and adaptive data subsampling strategy. We show that active learning-based subsampling can lead to better molecular machine learning performance when compared to both training models on the complete training data and 19 state-of-the-art subsampling strategies. We find that active learning is robust to errors in the data, highlighting the utility of this approach for low quality datasets. Taken together, we here describe a new, adaptive machine learning pre-processing approach and provide novel insights into the behavior and robustness of active machine learning for molecular sciences.
Enzymatically catalyzed furan-based copolyesters containing dimerized fatty acid derivative as a building block
Authors: Sokołowska Martyna , Nowak-Grzebyta Jagoda , Stachowska Ewa , Miądlicki Piotr , Michalkiewicz Beata , El Fray Miroslawa
Published: February 2023

An environmentally friendly method of creating sustainable alternatives to traditional aromatic-aliphatic polyesters is discussed as a valuable step towards resource-efficiency optimization. A group of furan-based copolymers was synthesised via temperature-varied two-step polycondensation reaction in diphenyl ether using Candida antarctica lipase B (CAL-B) as biocatalyst where dimethyl 2,5-furandicarboxylate (DMFDCA), a,w-aliphatic linear diols (a,w-ALD), and dimerized fatty acid diol (DLD) were used as the starting materials. Nuclear magnetic spectroscopy (1H and 13C NMR), Fourier transform spectroscopy (FTIR) and gel permeation chromatography (GPC) were used to analyze the resulting copolymers. Additionally, crystallization behavior and thermal properties were studied using X-ray diffraction (XRD), digital holographic microscopy (DHM), and differential scanning microscopy (DSC). The results showed that the diol chain length of a,w-ALD used in the synthesis had a significant effect on the material thermal properties and crystalline structure thus being an important guideline in design of entirely bio-based copolymers prepared by biocatalytic process.
Solvent matters: Long-term stability and enhanced solubility of merocyanine photoacids in water-DMSO mixtures
Authors: de Vries Anna , Goloviznina Kateryna , Reiter Manuel , Salanne Mathieu , Lukatskaya Maria R.
Published: February 2023

Metastable photoacids (mPAH), such as protonated merocyanine, are a unique class of organic molecules that offer spatiotemporal control of pH by reversibly releasing protons under UV-visible light. While merocyanine-type photoacids enable fully reversible pH cycling in water, their solubility and chemical stability are both limited to the range of sub-mM and less than 24 hours, respectively. In recent studies, structure modifications have been the key direction in improving photoacid properties. This work introduces a pathway to improve stability and solubility of photoacids using water-DMSO mixtures. DMSO was selected as co-solvent because, although the pH-switch in DMSO is irreversible, merocyanine is 100 times more soluble and chemically stable. We show that in water-DMSO solvent mixtures, a complete reversibility of pH-jumps can be achieved with at least tenfold increase in chemical stability and solubility. Molecular dynamics simulations with polarizable force fields revealed the crucial role of the photoacid solvation environment in the observed enhancements. This solvation engineering approach to improving solubility and long-term stability of photoacids in water-DMSO mixtures, can be applied to other metastable photoacids.
Liquid Organic Hydrogen Carriers: High-throughput Screening of Homogeneous Catalysts
Authors: Vishwakarma Gaurav , Hachmann Johannes
Published: February 2023

In the times of an ever-increasing rate of global warming and rapidly depleting fossil fuels, renewable sources of energy are attracting vast attention and numerous efforts have been directed towards achieving a hydrogen-based economy over the past few years. However, the biggest technical challenge so far has been the development of materials and the required infrastructure for efficient storage and transportation of hydrogen. To this end, liquid organic hydrogen carriers (LOHCs) have been extensively studied as they provide a safer alternative to storing high-purity hydrogen using the existing fuel infrastructure. However, commercial applications of LOHCs are only feasible when expensive, noble metal catalysts are substituted with inexpensive but equally efficient alternatives. In this work, we employ our group's cyberinfrastructure for the data-driven discovery and design of novel catalysts for LOHCs. We screen a library of homogeneous Ir-based pincer catalysts for the dehydrogenation of perhydro-N-ethyl carbazole. We develop a computational protocol to evaluate these catalysts based on thermodynamic parameters calculated using Density Functional Theory. Next, we use this data to train machine learning models for predicting the Gibbs free energies of the reactions and analyze hidden structure-property relationships in these systems.
Developing Future Public Service Leaders for Aotearoa New Zealand
Authors: Ashley Bloomfield
Published: February 2023

The New Zealand public service performs comparatively very well internationally and this has been evident during the global Covid-19pandemic. The public service will need strong and adaptable leadership in future to respond effectively to significant global challenges and threats to public trust, and the need for better public policy responses to extant ‘wicked’ problems. The pandemic response in New Zealand and internationally provides strong pointers as to what New Zealand should do to develop public service leaders for the future.
Charade Game: Does it Impact Students’ Writing Ability?
Authors: Al Azhar Abdullah , Prastikawati Entika Fani , Musarokah Siti
Published: February 2023

Modern English instruction must show a developing strategy to motivate and inspire pupils. Introducing games into the teaching and learning process is an option for reducing student boredom. The game of Charade is one alternate teaching strategy that can be used to teach English writing and improve students' writing skills. This study utilized the Charade game as a teaching method for writing. Utilizing a pre-test and post-test, a quasi-experimental research method was implemented. 30 students were assigned to each of the control and experimental groups, for a total of 60. After a series of interventions, students' writing skills were assessed. The outcome of quantitative data analysis was performed using SPSS 25. Compared to the control group, the experimental group demonstrates a considerable change and improvement in writing skills. The significant improvement of the experimental group demonstrates the efficacy of the Charade game as a method for teaching writing.