bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selection of formwork systems for arrangement of monolithic columns according to the method of integer rating of laborability and process duration
Authors: Tonkacheev G. , Tonkacheev V. , Nosach K. 
Published: December 2021

The relevance of this article is related to the problem of standardization of technological processes in which there is construction equipment for concrete work. Almost all construction processes are performed using construction equipment. The arrangement of monolithic structures is accompanied by the processes of installation and dismantling of the formwork. It is impossible to make a reasonable choice of options for equipping construction processes according to the existing standard time norms. For all possible variants of column formwork, almost the same time norms are used [1].
The article considers the comparison of several formwork options for the installation of monolithic reinforced concrete columns of frame structures. To determine the duration and complexity of the process used the method of integer rationing [2], which allows taking into account even minor changes in the formwork. Calculation by this method makes it possible to select the most effective options for formwork. As a basis, this technique uses an analysis of the number of actions and responsibilities of these actions in relation to the quality of the process and its reliability.
Any construction equipment is characterized by structural and technological versatility, which also affects the choice of options conditions of the process, so the article provides an analysis of these factors in terms of quality. If in the structure of the structure there are columns with different cross-sectional dimensions or heights, the preference is given to formwork options with greater structural versatility.
The material of the article opens a whole direction for further research in the field of construction equipment in other processes.
Lexicаl-Semantic and Syntactic Valency of Language Representations of the Emotional World in the Poem “Then, fare thee well” by T. Mооre
Authors: Diehl A. V. 
Published: December 2021

Introduction. The article is devoted to the study of the specificity of the lexical-semantic and syntactic valency of lexical units nominating emotions in the poem “Then, fare thee well” by T. Moore. The relevance of this study lies in the fact that it has been carried out in line with the linguo-cognitive paradigm and aims to identify the specifics of the compatibility of emotions nominations with other lexical units verbalizing the fragment of the concept “the emotional world”. The novelty of the research is associated with its anthropocentric orientation and interdisciplinary nature of the interpretation of the material, which implies the study of the artistic concept sphere “the emotional world” on the material of the poem “Then, fare thee well” by T. Moore from the standpoint of cognitive linguistics, psychology and literary criticism.Methodology and sources. The theoretical basis of this research is presented by the works of scientists V.Yu. Apresjan, E.V. Galeeva, N.A. Krasavskii, I.N. Kucher, S.G. Lyubova, K.O. Pogosova, E.A. Rozhnova, who considered the essence of emotional concepts as culturally conditioned mental constructs, i.e. directly related to the worldview of representatives of a particular ethnic group.In the article we use the following research methods: the method of definitional analysis, the functional-semantic method, the method of component analysis, the descriptive method, as well as methods of continuous sampling and quantitative data processing.Results and discussion. In the present study, the classification of lexical units verbalizing the manifestations of emotional states in the poem “Then, fare thee well” by T. Moore has been made. In the semantic structure of the lexemes under consideration, we highlight and categorize the semes marked by the correlation with the emotional sphere of people. The linguo-cognitive analysis of the lexic and syntactic valency of the primary and secondary nominations of emotions, carried out in the work, revealed the specifics of the conceptualization of emotional states and experiences in the individual author's picture of the world.Conclusion. It has been established that the artistic conceptual sphere “emotional world” in the poem “Then, fare thee well” by T. Moore consists of two closely interrelated concepts – “negative emotions” and “positive emotions”, verbalized by lexemes nominating a wide range of emotional experiences of the lyrical character. It is concluded that the associative-figurative characteristics attributed to a specific emotion in the artistic world of the author carry valuable culturally relevant information about the individual characteristics of the interpretation of emotional concepts both by the poet himself and by the “naïve” thinking of an English-speaking person as a representative of his language and culture.
Russian Tourism in the Era of the Covid-19 Pandemic: New Trends
Authors: Vostrova E. A. 
Published: December 2021

Introduction. The era of the Covid-19 pandemic has had a serious impact on changes in various areas of our society, and also predetermined the transformation of the Russian tourism industry. The purpose of the work is to identify new trends in Russian tourism in the context of the Covid-19 pandemic.Methodology and sources. The study used the method of selective observation and the method of forecasting, carried out the sociological analysis of the works of modern scientists N.A. Voskolovich, I.V. Loguntsova, B.M. Eidelman, O.A. Bunakov, L.R. Fakhrutdinova, V. Durly and the large-scale study of the impact of the pandemic on the tourism industry in Russia (906 respondents).Results and discussion. The author has deepened his understanding of the process of de-globalization in relation to Russian tourism during a pandemic. The pandemic is accelerating de-globalization, the megatrend that could become strategic in tourism for the foreseeable future. This experience will contribute to the emergence and popularization of new tourism trends: the increase in the number of travel near the place of residence and within the country, the spread of digitalization, the personalization of travel offers, travel planning with safety in mind and attention to the sanitary and epidemiological situation, an increase in ecotourism and excursion tourism, an increase in the number of car trips, as well as the reorientation of some tourists from hotels to short-term rental housing.Conclusion. From a futuristic perspective, the pandemic has greatly benefited the panorama of events unfolding before our eyes. The pandemic, speaking in futuristic terms, can be classified as a “black swan”. This is the social experiment on a global scale, which determines the emergence of new tourism trends, and also forms in the eyes of the public the special attitude towards Russian tourism as a truly important industry.
NEUROHÁBITAT DEL DISEÑO A LA SINAPSIS
Authors: Guzman Rafael Marcelino 
Published: December 2021

¿Puede el diseño condicionar nuestra conducta? ¿Puede condicionar cómo nos sentimos? ¿Puede modificar nuestra mente? Al paso del tiempo la práctica del diseño ha sido sinónimo de estética, modernidad y estatus, ha sido modificada por los medios y las herramientas tecnológicas, lo cual ha llegado a permitir la creación de un hábitat construido fusionado entre la información digital y el mundo real que habitamos utilizando técnicas novedosas con las cuales interactuamos hoy. Este artículo describe un acercamiento a la base conceptual de un nuevo paradigma dentro del diseño en general llamado Neurohábitat un paradigma repleto de oportunidades para la investigación, que parte del hecho de que el objeto final de este hábitat diseñado y construido son los sujetos que lo habitan y experimentan. Esto simboliza una práctica transhumanista que antepone el desarrollo de la experiencia y vida humana, al beneficio económico, político o de otra naturaleza de los sujetos. La incorporación de la ciencia al diseño podría representar el surgimiento de un nuevo avance para los planteamientos metodológicos y teóricos de la disciplina dentro de un mundo cada vez más cambiante y digitalizado.
Palabras clave: Diseño, neurociencias, cognición, hábitat.
AbstractCan design condition our behavior? Can it condition the way we feel? Can it modify our mindset? Over time, the practice of design has been synonymous with aesthetics, modernity and status, it has been modified by the media and technological tools, which has come to allow the creation of a built habitat fused between digital information and the real world we inhabit using novel techniques with which we interact today. This article describes an approach to the conceptual basis of a new paradigm within design in general called Neurohabitat, a paradigm full of opportunities for research, which starts from the fact that the final object of this designed and built habitat is the subjects that inhabit it. and they experiment. This symbolizes a transhumanist practice that puts the development of human experience and life before the economic, political or other benefits of the subjects. The incorporation of science into design could represent the emergence of a new advance for the methodological and theoretical approaches of the discipline within an increasingly changing and digitized world.
Keywords Design: neurosciences, cognition, habitat.
THE EFFECT OF WILD HONEY (Apis dorsata Fabr.) CONCENTRATIONS ON PH AND ORGANOLEPTIC VALUES OF ULTRA HIGH TEMPERATURE (UHT) MILK
Authors: Palilati Selawati , Fahrullah  , Korompot Ishak 
Published: December 2021

The research aims to observe the effect of addition wild honey (Apis dorsata Fabr.) on pH and organoleptic values of ultra high temperature milk (UHT). The research was done using an experimental method using a non-factorial completely randomized design with five levels using SPSS 16. Different concentrations of wild honey (A1= control; A2= 5%; A3= 10%; A4= 15% and A5=20%) were used. The data was statistically analyzed using analysis of variance (ANOVA) with 5% significance level and further processed with Duncan's Multiple Range Test (DMRT). Organoleptic tests for colour, taste and overall preference were also done using qualitative tests (scores). The value of pH gave a significant value (P<0,01) between treatment. The higher the use of wild honey concentration, the lower the pH value produced. The higher the concentration of wild honey, the higher the organoleptic value. The best treatment in terms of colour, taste, and level of preference was observed in the sample with the 20% honey concentration, each of which resulted in an average score of 4.
Therapeutic Effect of Novel Cyanopyrrolidine-Based Prolyl Oligopeptidase Inhibitors in Rat Models of Amnesia
Authors: Zolotov Nikolay N. , Schepetkin Igor A. , Voronina Tatyana A. , Pozdnev Vladimir F. , Khlebnikov Andrei I. , Krylova Irina V. , Quinn Mark T. 
Published: December 2021

Prolyl oligopeptidase (POP) is a large cytosolic serine peptidase that is altered in patients with Alzheimer’s disease, Parkinsonian syndrome, muscular dystrophies, and other denervating diseases. Thus, POP may represent a relevant therapeutic target for treatment of neuropsychiatric disorders and neurodegenerative diseases. Here, we report the characterization of five novel cyanopyrrolidine-based compounds (BocTrpPrdN, BocGlyPrdN, CbzMetPrdN, CbzGlnPrdN, and CbzAlaPrdN) and show that they are potent inhibitors of POP and are predicted to penetrate the blood-brain barrier (BBB). Indeed, we show that CbzMetPrdN penetrates the rat BBB and effectively inhibits POP in the brain when administered intraperitoneally. Furthermore, molecular modeling confirmed these compounds likely inhibit POP via interaction with the POP catalytic site. We evaluated protective effects of the cyanopyrrolidine-based POP inhibitors using scopolamine- and maximal electroshock-induced models of amnesia in rats and showed that BocTrpPrdN, BocGlyPrdN, CbzMetPrdN, and CbzGlnPrdN significantly prolonged conditioned passive avoidance reflex (CPAR) retention time when administered intraperitoneally (1 and 2 mg/kg) before evaluation in both models of amnesia, although CbzAlaPrdN was not effective in scopolamine-induced amnesia. Our data support previous reports on the antiamnesic effects of prolinal-based POP inhibitors and indicate an important role of POP in the regulation of learning and memory processes in the CNS.
The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing
Authors: Deady Matthew , Ezzeldin Hussein , Cook Kerry , Billings Douglas , Pizarro Jeno , Plotogea Amalia A. , Saunders-Hastings Patrick , Belov Artur , Whitaker Barbee I. , Anderson Steven A. 
Published: December 2021

Introduction: The Food and Drug Administration Center for Biologics Evaluation and Research conducts post-market surveillance of biologic products to ensure their safety and effectiveness. Studies have found that common vaccine exposures may be missing from structured data elements of electronic health records (EHRs), instead being captured in clinical notes. This impacts monitoring of adverse events following immunizations (AEFIs). For example, COVID-19 vaccines have been regularly administered outside of traditional medical settings. We developed a natural language processing (NLP) algorithm to mine unstructured clinical notes for vaccinations not captured in structured EHR data.Methods: A random sample of 1,000 influenza vaccine administrations, representing 995 unique patients, was extracted from a large U.S. EHR database. NLP techniques were used to detect administrations from the clinical notes in the training dataset [80% (N = 797) of patients]. The algorithm was applied to the validation dataset [20% (N = 198) of patients] to assess performance. Full medical charts for 28 randomly selected administration events in the validation dataset were reviewed by clinicians. The NLP algorithm was then applied across the entire dataset (N = 995) to quantify the number of additional events identified.Results: A total of 3,199 administrations were identified in the structured data and clinical notes combined. Of these, 2,740 (85.7%) were identified in the structured data, while the NLP algorithm identified 1,183 (37.0%) administrations in clinical notes; 459 were not also captured in the structured data. This represents a 16.8% increase in the identification of vaccine administrations compared to using structured data alone. The validation of 28 vaccine administrations confirmed 27 (96.4%) as “definite” vaccine administrations; 18 (64.3%) had evidence of a vaccination event in the structured data, while 10 (35.7%) were found solely in the unstructured notes.Discussion: We demonstrated the utility of an NLP algorithm to identify vaccine administrations not captured in structured EHR data. NLP techniques have the potential to improve detection of vaccine administrations not otherwise reported without increasing the analysis burden on physicians or practitioners. Future applications could include refining estimates of vaccine coverage and detecting other exposures, population characteristics, and outcomes not reliably captured in structured EHR data.
Development and Validation of a Prediction Model for Survival in Diabetic Patients With Acute Kidney Injury
Authors: Mo Manqiu , Pan Ling , Huang Zichun , Liang Yuzhen , Liao Yunhua , Xia Ning 
Published: December 2021

ObjectiveWe aimed to analyze the risk factors affecting all-cause mortality in diabetic patients with acute kidney injury (AKI) and to develop and validate a nomogram for predicting the 90-day survival rate of patients.MethodsClinical data of diabetic patients with AKI who were diagnosed at The First Affiliated Hospital of Guangxi Medical University from April 30, 2011, to April 30, 2021, were collected. A total of 1,042 patients were randomly divided into a development cohort and a validation cohort at a ratio of 7:3. The primary study endpoint was all-cause death within 90 days of AKI diagnosis. Clinical parameters and demographic characteristics were analyzed using Cox regression to develop a prediction model for survival in diabetic patients with AKI, and a nomogram was then constructed. The concordance index (C-index), receiver operating characteristic curve, and calibration plot were used to evaluate the prediction model.ResultsThe development cohort enrolled 730 patients with a median follow-up time of 87 (40–98) days, and 86 patients (11.8%) died during follow-up. The 90-day survival rate was 88.2% (644/730), and the recovery rate for renal function in survivors was 32.9% (212/644). Multivariate analysis showed that advanced age (HR = 1.064, 95% CI = 1.043–1.085), lower pulse pressure (HR = 0.964, 95% CI = 0.951–0.977), stage 3 AKI (HR = 4.803, 95% CI = 1.678–13.750), lower 25-hydroxyvitamin D3 (HR = 0.944, 95% CI = 0.930–0.960), and multiple organ dysfunction syndrome (HR = 2.056, 95% CI = 1.287–3.286) were independent risk factors affecting the all-cause death of diabetic patients with AKI (all p &lt; 0.01). The C-indices of the prediction cohort and the validation cohort were 0.880 (95% CI = 0.839–0.921) and 0.798 (95% CI = 0.720–0.876), respectively. The calibration plot of the model showed excellent consistency between the prediction probability and the actual probability.ConclusionWe developed a new prediction model that has been internally verified to have good discrimination, calibration, and clinical value for predicting the 90-day survival rate of diabetic patients with AKI.
A Randomized Clinical Trial of Linagliptin vs. Standard of Care in Patients Hospitalized With Diabetes and COVID-19
Authors: Abuhasira Ran , Ayalon-Dangur Irit , Zaslavsky Neta , Koren Ronit , Keller Mally , Dicker Dror , Grossman Alon 
Published: December 2021

ObjectiveTo assess the effect of linagliptin vs. standard therapy in improving clinical outcomes in patients hospitalized with diabetes and coronavirus disease 2019 (COVID-19).Materials and MethodsWe did an open-label, prospective, multicenter, randomized clinical trial in 3 Israeli hospitals between October 1, 2020, and April 4, 2021. Eligible patients were adults with type 2 diabetes mellitus and a diagnosis of COVID-19. A total of 64 patients, 32 in each group, were randomized to receive linagliptin 5 mg PO daily throughout the hospitalization or standard of care therapy. The primary outcome was time to clinical improvement within 28 days after randomization, defined as a 2-point reduction on an ordinal scale ranging from 0 (discharged without disease) to 8 (death).ResultsThe mean age was 67 ± 14 years, and most patients were male (59.4%). Median time to clinical improvement was 7 days (interquartile range (IQR) 3.5-15) in the linagliptin group compared with 8 days (IQR 3.5–28) in the standard of care group (hazard ratio, 1.22; 95% CI, 0.70–2.15; p = 0.49). In-hospital mortality was 5 (15.6%) and 8 (25.0%) in the linagliptin and standard of care groups, respectively (odds ratio, 0.56; 95% CI, 0.16–1.93). The trial was prematurely terminated due to the control of the COVID-19 outbreak in Israel.ConclusionsIn this randomized clinical trial of hospitalized adult patients with diabetes and COVID-19 who received linagliptin, there was no difference in the time to clinical improvement compared with the standard of care.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT04371978.
Antibiotics Contaminated Irrigation Water: An Overview on Its Impact on Edible Crops and Visible Light Active Titania as Potential Photocatalysts for Irrigation Water Treatment
Authors: Jalloul Ghadeer , Keniar Imad , Tehrani Ali , Boyadjian Cassia 
Published: December 2021

Sub-therapeutic levels of antibiotics (ABs) are given to animals and poultry to promote growth and reduce disease. In agricultural environments, ABs reach croplands via animal manure used as fertilizer and/or ABs-contaminated water used for irrigation. The continuous discharge of ABs into the ecosystem raises growing concerns on the ABs contamination of edible crops. Tetracyclines (TCs) are among the most widely used ABs around the world. In this review, we discuss the contamination of irrigation water with TCs, its impact on edible crops, and the potential risks of crop contamination with TCs on human health. We propose solar-mediated photocatalytic degradation using Titania (TiO2) photocatalyst as a promising method to remove TCs from irrigation water. The photocatalytic activity of TiO2 can be enhanced by chemical modification to expand its activity under visible light irradiation. Herein, we aim for providing literature-based guidance on developing a visible light–active TiO2-based system to degrade TCs and other ABs in water streams. We include a summary of recent advances on this topic based on three main modification methods of Titania: metal/non-metal/mixed doping, composite formation, and heterojunction construction. Among the investigated photocatalysts, Fe2O3-TiO2/Fe-zeolite and the N-doped TiO2/rGO immobilized composite catalysts were found to be very efficient in the degradation of TCs under visible light irradiation (i.e., 98% degradation within 60 min). Most immobilized TiO2 based composite systems exhibited improved performances and hence we highlight these as efficient, cost effective and ecofriendly photocatalysts for the degradation of TCs in irrigation water.
COVID-19 Transcriptomic Atlas: A Comprehensive Analysis of COVID-19 Related Transcriptomics Datasets
Authors: Alqutami Fatma , Senok Abiola , Hachim Mahmood 
Published: December 2021

Background: To develop anti-viral drugs and vaccines, it is crucial to understand the molecular basis and pathology of COVID-19. An increase in research output is required to generate data and results at a faster rate, therefore bioinformatics plays a crucial role in COVID-19 research. There is an abundance of transcriptomic data from studies carried out on COVID-19, however, their use is limited by the confounding factors pertaining to each study. The reanalysis of all these datasets in a unified approach should help in understanding the molecular basis of COVID-19. This should allow for the identification of COVID-19 biomarkers expressed in patients and the presence of markers specific to disease severity and condition.Aim: In this study, we aim to use the multiple publicly available transcriptomic datasets retrieved from the Gene Expression Omnibus (GEO) database to identify consistently differential expressed genes in different tissues and clinical settings.Materials and Methods: A list of datasets was generated from NCBI’s GEO using the GEOmetadb package through R software. Search keywords included SARS-COV-2 and COVID-19. Datasets in human tissues containing more than ten samples were selected for this study. Differentially expressed genes (DEGs) in each dataset were identified. Then the common DEGs between different datasets, conditions, tissues and clinical settings were shortlisted.Results: Using a unified approach, we were able to identify common DEGs based on the disease conditions, samples source and clinical settings. For each indication, a different set of genes have been identified, revealing that a multitude of factors play a role in the level of gene expression.Conclusion: Unified reanalysis of publically available transcriptomic data showed promising potential in identifying core targets that can explain the molecular pathology and be used as biomarkers for COVID-19.