Long COVID (Medline OVID - text word).

Literature review on the epidemiology and pathophysiology of long COVID: How can long COVID be defined? How frequent is it? What are the most common symptoms? Which are the risk factors? What are the underlying pathophysiological mechanisms?

Spanish L2 Chinese Learners’ Awareness of Morpho-Syntactic Structures in the Reading Comprehension of Splittable Compounds

Reading comprehension is never considered a simple task in linguists’ views as it requires a full set of linguistic knowledge, such as word decoding, understanding syntactic and morphological structures, and deriving proper meanings from these structures in a given context. Bearing the simple view of reading, the primary goal of this study is to explore whether the split presentation of Chinese splittable compounds influences the recognition of the compounds in second language (L2) Chinese reading comprehension, and how the reading skills, i.e., word decoding and linguistic comprehension, cooperate to complete this reading comprehension task. Splittable compounds (SCs) in Chinese are typically verbs composed of two constituents with limited separability. The separable property of SCs and their vague morpho-syntactic status are supposed to cause difficulties for L2 Chinese learners in recognizing the compounds. Especially for those whose native language manifests lexical integrity, the split presentation of the compounds may invite the L2 Chinese readers to process them with a mechanism different from that for their non-split forms. To the best of our knowledge, the efforts on investigating this issue are insufficient. In this study, 27 Spanish speaking L2 Chinese learners were invited to complete tasks including reading and interpreting 6 selected SCs in the split and non-split forms, rating their familiarities with each SC and reporting the syntactic category of the SCs based on their existing linguistic knowledge. The results, showed that the split presentation of SCs did cause challenges for L2 Chinese learners in recognizing the compounds in the reading process, regardless of their Chinese proficiencies. The L2 Chinese participants performed significantly worse in recognizing split SCs in salient Verb-Object structures than recognizing those in unsalient Verb-Object structures. These findings underscore the importance of linguistic comprehension in L2 Chinese in-text word reading comprehension and suggest words as the basic processing units.

Sportsman’s Mental State Evaluation and Early Warning Method Using Decision Tree

Aiming at the intelligent needs of psychological state assessment of university students, the text information-based psychological problem identification approach is investigated in the paper. This approach uses the text of student forums within universities as the database and introduces the convolutional neural network (CNN) model in deep learning, which contains a convolutional layer, a pooling layer, and a fully connected layer. After the convolution is completed, the convolution result is de-linearized by the activation function, and then pooling is performed to improve the fitting ability of the network for nonlinearities. For data processing, behavioral features attribute features, content features, and social relationship features are extracted from text information as the input of the CNN by using the decision tree. The psychological lexicon of expertise (LIWC) is used to enhance the efficiency of text word frequency statistics when performing text content extraction. To evaluate the performance of the proposed method, simulations are performed in the open dataset of CLPsyh2017 ReachOut Forum, and the FastText method is used as a comparison. The results show that the CNN model achieves an accuracy of 0.71 in the full-sample domain, which is significantly higher than that of the FastText model at 0.64. In the early warning evaluation of mental states, the CNN performance is better than that of FastText.

Recuperação da informação científica em tempos de pandemia

Introdução/Objetivo: Apresenta temática vinculada à recuperação da informação científica contida no buscador PubMed cujo objetivo é verificar atrasos na indexação de publicações científicas com os termos do vocabulário controlado Medical Subject Headings (MeSH). Metodologia: Contempla a pesquisa bibliográfica para contextualização temática, e é exploratória e descritiva com aplicabilidade prática sobre assuntos relacionados à pandemia de Covid-19. Foi construída estratégia de busca no PubMed com 16 termos relacionados à temática nos campos MeSH Terms e Text Word. Para o estudo foram selecionadas publicações de 2021 no idioma português. Os metadados das 85 publicações foram exportados para análise em planilha sob os aspectos de entrada da publicação no PubMed, tempo até a indexação com os termos MeSH e categoria da publicação. Resultados: Cerca de 89% das publicações, considerando a amostra de 62 itens, tiveram um atraso na indexação de pelo menos 15 dias; e cerca de 11% demoraram de 15 a 135 dias. Conclusão: Para que os pesquisadores consigam recuperar os mais recentes conteúdos científicos sobre a COVID-19, é fundamental que sejam construídas estratégias de busca que contemplem a utilização do termo do vocabulário controlado MeSH aliado à utilização das variações de nomenclatura da temática em demais campos, como o Text Word, já que publicações podem constar no buscador, mas ainda não terem sido indexadas, a fim de recuperar maior número de literatura científica já publicada.

Collaborative Filtering Recommendation Algorithm for MOOC Resources Based on Deep Learning

In view of the poor recommendation performance of traditional resource collaborative filtering recommendation algorithms, this article proposes a collaborative filtering recommendation model based on deep learning for art and MOOC resources. This model first uses embedding vectors based on the context of metapaths for learning. Embedding vectors based on the context of metapaths aggregate different metapath information and different MOOCs may have different preferences for different metapaths. Secondly, to capture this preference drift, the model introduces an attention mechanism, which can improve the interpretability of the recommendation results. Then, by introducing the Laplacian matrix into the prior distribution of the hidden factor feature matrix, the relational network information is effectively integrated into the model. Finally, compared with the traditional model using the scoring matrix, the model in this article using text word vectors effectively alleviates the impact of data sparsity and greatly improves the accuracy of prediction. After analyzing the experimental results, compared with other algorithms, the resource collaborative filtering recommendation model proposed in this article has achieved better recommendation results, with good stability and scalability.

Recent and forecast post-COVID trends in hospital activity in England amongst 0 to 24 year olds: analyses using routine hospital administrative data

BackgroundIncreasing hospital use in the past decade has placed considerable strain on children and young people’s (CYP) health services in England. Greater integration of healthcare may reduce these increases. We projected CYP healthcare activity out to 2040 and examined the potential impact of integrated care systems on projected activity.MethodsWe used routine administrative data (Hospital Episode Statistics (HES)) on emergency department (ED) attendances, emergency admissions and outpatient (OP) attendances for England by age-group for 0-24 year olds from 2007 to 2017. Bayesian projections of future activity used projected population and ethnicity and future child poverty rates. Cause data were used to identify ambulatory-care-sensitive-conditions (ACSC).FindingsED attendances, emergency admissions and OP attendances increased in all age groups from 2007 to 2017. ED and OP attendances increased 60-80% amongst children under 10 years. ACSC and neonatal causes drove the majority of increases in emergency admissions. Activity was projected to increase by 2040 by 50-145% for ED attendances, 20-125% for OP attendances and 4-58% for total admissions. Scenarios of increasing or decreasing child poverty resulted in small changes to forecast activity. Scenarios in which 50% of ACSC were seen outside hospital in integrated care reduced estimated activity in 2040 by 21.2-25.9% for admissions and 23.5-30.1% for ED attendances across poverty scenarios amongst infants.InterpretationThe rapid increases in CYP healthcare activity seen in the past decade may continue for the next decade given projected changes in population and child poverty, unless some of the drivers of increased activity are addressed. Contrary to these pessimistic scenarios, our findings suggest that development of integrated care for CYP at scale in England has the potential to dramatically reduce or even reverse these forecast increasesFundingNil funding obtained.Research in contextEvidence before this studyThere has been marked increases in hospital use (inpatient, outpatient and emergency department (ED)) by children and young people (CYP). Search of the PubMed database using the search terms: (((((“child”[MeSH Major Topic]) OR (“adolescent”[MeSH Major Topic])) OR (“infant”[MeSH Major Topic]))) AND ((healthcare use[Text Word])) OR (emergency admission[Text Word])) AND (united kingdom[Text Word]). Drivers of increased activity include population growth and sociodemographic factors, help-seeking behaviour, growth in medical knowledge and capability, and by factors within the health system. Additional factors in child health include increased survival of premature neonates and those with congenital conditions and rising parental expectations of modern medicine. Previous studies have shown that ambulatory-care-sensitive-conditions (ACSC) are responsible for much of the increase in CYP emergency activity in England and Scotland.Added value of this studyThis is the first study to use existing data to project possible future scenarios for CYP healthcare activity out to 2030 and 2040 in any country. Our future scenarios are based upon authoritative projections for population, ethnic diversity and child poverty in England and allow us to estimate the potential impact of integrated care scenarios in which ACSC are treated outside hospital. We show that future projected CYP activity is very high if mitigations such as integrated care are not instituted in England.Implications of all the available evidenceHealthcare activity has grown dramatically over the last decade in CYP, largely due to ACSC and the consequences of premature delivery. Projections to 2040 suggest that similar increases are likely over the next 2 decades without action to reduce child poverty and implementation of integrated care at scale in the NHS.

Teaching Critical Reading Through Online

The literacy ability of Indonesian children is lower than children in other countries. In addition, students' vocabulary mastery is low. Even though the teacher had given vocabulary instruction to the students during the reading comprehension class, they still translated the text word by word into Indonesian. This study analyzes the effect of online learning on the acquisition of critical reading among students. This study used a pre-experimental study without a control group. Tests for the validity and reliability of reading comprehension texts and vocabulary tests were conducted before the test involving 40 participants. The technique used to collect data is a test. Validity and reliability were measured using some of the same texts used as pre-test and post-test. The pre-test and post-test scores were analyzed by Wilcoxon statistical analysis to test their reading scores before and after the intervention on the same subjects. The findings from the t-test revealed that the critical reading intervention was beneficial for students. Further studies showed that the instructional intervention adopted could help them improve their reading comprehension performance. These findings are expected to provide a teaching model that responds to the typical rise of today's online learning.

INTERPRETATION SPHERE OF THE AUTHOR’S VOCABULARY (ON THE MATERIAL OF THE BOOK “STONE” BY O. E. MANDELSTAM)

The scope of research in the article includes author’s vocabulary, or the vocabulary of the language of O. E. Mandelstam (based on the book of poems “Stone”). The research object is an author’s vocabulary entry as a system that has a structure and its own units. The basic research method is the method of poetic ideography as a kind of literary ideography and a type of general ideography in lexicographical perspective. The units under study are heterogeneous and diverse: these are units of a quantum and metafunctional nature. The former include units of prosody, lexical and conceptual units; the latter comprise units of a poetological and prosodic nature, as well as conceptual formations. The study reveals and characterizes typological features of the author’s vocabulary (of the language of O. Mandelstam), and introduces new features: poetological, prosodic, and interpretative. In general, the investigation is carried out within the framework of lexicography, ideography, textual studies, text linguistics, text hermeneutics, and text decoding (interpretation). The article establishes the operational order of description of poem units (the arrangement of the material in the author’s vocabulary is text-related), which corresponds to the set of systemic areas of the poetic text analyzed in the vocabulary entry: textual, poetological, prosodic, lexico-semantic, denotative, ideographic, and interpretative (based on the analysis of the system of functional-semantic field of vocabulary in a particular poem as the title unit of a vocabulary entry) spheres. The results of poetic-ideographical analysis correlate with the specific features of the poetic worldview of O. Mandelstam. The study suggests, illustrates, and analyzes a model and structure of a vocabulary entry of O. Mandelstam’s language. The degree of subjectivity/objectivity of the content of the interpretation sphere of a vocabulary entry is also determined. Furthermore, the authors conceptualize the nature, character, and structure of the interpretative sphere of a vocabulary entry. They analyze O. Mandelstam’s poem “Silentium”. The vocabulary entry contains eight structural elements. The logic of description and analysis of the units of the poetic text (by stanzas) is as follows: the title unit of the vocabulary entry – the poem → poetological information → prosodic information → semantic-denotative-ideographic information → interpretative sphere of the vocabulary entry. Interpretation of textual, general lexicographic, and ideographic information is performed with reference to the identification and analysis of paradigmatic (causative) series of conceptual formations implemented in the text word by word, line by line, and stanza by stanza (the units of interpretative analysis – vocabulary, phrase, utterance, complex syntactic construction and complex syntactic unity). Interpretation of conceptual formations is carried out taking into account the polysemy of the vocabulary. The interpretative sphere is the result of functioning of such a feature of the text as interpretability, or poliinterpretability, and also an outcome or generalized conclusion of the poetic and lexicographic study of O. Mandelstam’s poems.

ON THE TRANSLATION OF KARL MARX'S 11-th THESIS ON FEUERBACH: THE CORRELATION OF THEORY AND PRACTICE IN HISTORY AND POLITICS

The purpose of the article is to analyze the translation into Russian of Karl Marx's 11-th thesis on Feuer-bach. The main content of the study is the analysis and interpretation of Marx's judgment content on the correlation between theory and practice in the life of a man and society. Based on the results of the re-search the author concludes that the currently used version of Karl Marx's 11-th thesis on Feuerbach translation significantly changes its meaning. The study conducted made it possible to substantiate thoughtfully the necessity to change Karl Marx's 11-th thesis translation in his work «Theses on Feuer-bach» and give a new version of its translation, reflecting the essence of the German original text word-ing.

AYURVEDA INTERVENTION IN FEMALE INFERTILITY DUE TO OVARIAN FACTOR - A CASE REPORT

Infertility is defined as inability of a couple to conceive after one year of regular unprotected sexual intercourse. Incidence of ovarian dysfunction in the form of Polycystic ovarian disease (PCOD) has become a leading cause of female infertility in today’s era. Polycystic Ovarian disease (PCOD) is a heterogeneous, multifactorial and polygenic endocrinal disorder. Acharya Sushrut explained about Bandhya Yonivya pada where Nashtartava is mentioned as the one and only symptom. In Ayurveda text word Aartava has been used extensively in different contexts; menstrual blood, ovum and ovarian hormones. Therefore Amenorrhea, anovulation, hormonal dysfunction can be considered as visible manifestations of Nashtartva. So, here an attempt has been made to explore Samshodhan (Virechan) as a possible line of treatment for Bandhya (Nashtartava). Material and method: Following is a case report of a female who was anxious to conceive after 4 years of active married life, along with H/O delayed menses. Her USG reports showed polycystic appearance of ovaries and anovulation was noticed in follicular study. During this case study evaluation of Shodhan therapy (Virechan) and Shaman therapy in infertility due to ovulatory dysfunction was done. Result: Before the treatment patient was a known case of infertility due to PCOD and after treatment she conceived and delivered a healthy female baby. Discussion: Line of treatment was to enhance potency of ovum and with the help of Virechankarma, regularize vitiated Vata Dosha, Shrotoshuddhi and Aartava janan. Conclusion: Ayurveda therapy can be used in patients of infertility due to PCOD for better outcome and no adverse drug effect was noticed.