bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study
Authors: Van Olmen Josefien , Van Nooten Jens , Philips Hilde , Sollie Annet , Daelemans Walter 
Published: April 2022

Background
Electronic medical records have opened opportunities to analyze clinical practice at large scale. Structured registries and coding procedures such as the International Classification of Primary Care further improved these procedures. However, a large part of the information about the state of patient and the doctors’ observations is still entered in free text fields. The main function of those fields is to report the doctor’s line of thought, to remind oneself and his or her colleagues on follow-up actions, and to be accountable for clinical decisions. These fields contain rich information that can be complementary to that in coded fields, and until now, they have been hardly used for analysis.

Objective
This study aims to develop a prediction model to convert the free text information on COVID-19–related symptoms from out of hours care electronic medical records into usable symptom-based data that can be analyzed at large scale.

Methods
The design was a feasibility study in which we examined the content of the raw data, steps and methods for modelling, as well as the precision and accuracy of the models. A data prediction model for 27 preidentified COVID-19–relevant symptoms was developed for a data set derived from the database of primary-care out-of-hours consultations in Flanders. A multiclass, multilabel categorization classifier was developed. We tested two approaches, which were (1) a classical machine learning–based text categorization approach, Binary Relevance, and (2) a deep neural network learning approach with BERTje, including a domain-adapted version. Ethical approval was acquired through the Institutional Review Board of the Institute of Tropical Medicine and the ethics committee of the University Hospital of Antwerpen (ref 20/50/693).

Results
The sample set comprised 3957 fields. After cleaning, 2313 could be used for the experiments. Of the 2313 fields, 85% (n=1966) were used to train the model, and 15% (n=347) for testing. The normal BERTje model performed the best on the data. It reached a weighted F1 score of 0.70 and an exact match ratio or accuracy score of 0.38, indicating the instances for which the model has identified all correct codes. The other models achieved respectable results as well, ranging from 0.59 to 0.70 weighted F1. The Binary Relevance method performed the best on the data without a frequency threshold. As for the individual codes, the domain-adapted version of BERTje performs better on several of the less common objective codes, while BERTje reaches higher F1 scores for the least common labels especially, and for most other codes in general.

Conclusions
The artificial intelligence model BERTje can reliably predict COVID-19–related information from medical records using text mining from the free text fields generated in primary care settings. This feasibility study invites researchers to examine further possibilities to use primary care routine data.
Kecenderungan Arah Penelitian Pada Tugas Akhir Mahasiswa Fkip Universitas Bung Hatta
Authors: Har Erman 
Published: April 2022

Penelitian ini mempelajari kecenderungan arah penelitian yang dilaksanakan oleh mahasiswa fkip Universitas Bung Hatta pada pelaksanaan tugas akhir. Sasarannya 10 orang mahasiswa dari tujuh program studi dengan jumlah responden sebanyak 70 orang. Analisis data secara deskriptif, t-test . Hasil penelitian menunjukkan bahwa arah penelitian yang dilakukan oleh mahasiswa pada tugas akhir memperlihatkan kecenderungan mengarah pada penelitian eksperimen, diikuti dengan penelitian survei, dan penelitian pengembangan. Uji t-test menunjukkan bahwa terdapat perbedaan yang signifikan antara penelitian yang dilakukan oleh mahasiswa laki-laki dengan mahasiswa perempuan terutama arah penelitian eksperimen lebih tinggi dilakukan oleh mahasiswa perempuan di banding dengan mahasiswa laki-laki. Implikasi penelitian ini adalah mahasiswa lebih memahami penelitian eksperimen dibanding dengan penelitian yang lain. Oleh sebab itu para dosen yang mengajar metode penelitian pada berbagai program studi dapat memberikan materi yang seimbang untuk berbagai jenis penelitian.
INDUSTRY AND RESEARCH COLLABORATION A MODEL FOR INDIA
Authors: GOEL ROSHANI 
Published: April 2022

The purpose of this paper is to understand the technological innovation taken place in pharmaceutical industry based on institutional research and the gaps between the investment made in research the utilisation of research by the industry. Though the topic is open for argument but it will be beneficial for public policy makers concerned with science and technology and economist thriving for technological change and innovation. The paper aims at putting a discussion for a need on investment and private businesses collaboration with institutional research. This gives space and time for new knowledge to transform the existing technology for betterment of life. It critically talks in the context of pharmaceutical companies in India while getting an outline from industrially developed countries. It highlights the fact that first industry academia collaboration enhancement agenda was held on 5th March 2013, in New Delhi. This itself explains the requirement of institutional research for technological upliftment which will further be supported by literature presented by the researchers.
The international scenario showed that 1980’s Bayh Dole Act of United States is the best model to strengthen the industry and research collaboration. The model has been implemented worldwide. This paper presents the analysis of countries like U.S.A, United Kingdom, China and OCED countries. The reason for this is that these countries have well developed academia industry collaboration and strategic partnership between them. Though these countries have better GDP and stable economy. However, India is a growing economy and new ideas will help it in making it stronger.
India is at a starting stage of developing the process academia research and industry collaboration, so there is a way for new strategies to make way in the bottleneck for collaboration. Even in India Bayh Dole Act has been implemented under different name. But one of the major challenges regarding its implementation that India receives is in transparency and clarity in terms of policy and lack of inputs from different organisations. In addition, different are positive about India’s growth and in order to sustain such growth in coming years it is imperative to have technological advancement and innovation to accelerate to propel the economic growth of the country. Thus, research centres near firms seems to get more related to research work concerned or required by the industry. In other words, in industry research collaboration geographical proximity has main of the main role to play in it. The study bases its argument on rich literature that advocates that the collaboration is beneficial for both research and industry.
Transformation of perception and requirements for seaside towns, their saturation, architectural appearance
Authors: Ilicheva Daria A. 
Published: April 2022

Introduction. The present-day life of Russian seaside towns, their architecture and aesthetics feature an urgent demand for improving the quality and adding new choice options for residents and guests, the variability in the functional saturation of architectural objects and, what is also extremely important, the holistic and comfortable appearance of buildings.
Materials and methods. The author will consider how the perception of life in seaside towns has changed, what requests have appeared, and what can be done to meet them. These tasks will be considered in a social context from the standpoint of each category of residents. The author uses Sevastopol as a case city.
Results. The author has identified rapidly changing workflow organization methods, tightening standards of comfortable places of residence, their surroundings, and tougher requirements for an urban environment as a whole. Artistic and stylistic unity, environmental aesthetics have become obligatory and integral constituents of comfortable living in a space capable of giving a quick response to the needs of a resident. It is necessary to trace the historical and modern trends inherent in a particular place, to understand what requests citizens have, what is needed for the harmonious development and life in it, what special features should be inherent in new residential buildings, what artistic and stylistic proposals are to be made.
Conclusions. A set of common problems and requests, that require solutions and entail a number of circumstances creating discomfort in urban living, has been formulated for each category of citizens identified using cultural and economic criteria. To solve these problems, the authors suggests concepts of a development model, demonstrating multifunctionality and variability, creating a holistic comfortable environment, focusing both on socioeconomic issues and equally important aspects of architectural and stylistic perception. Recommendations on the “use” of this model and the development of urban appearance are also made.
Modeling thermal and wind processes in the near-wall layer of building envelopes subjected to insolation
Authors: Giyazov Adham I. , Mirzoev Saidmukhammad M. , Abdulrahman Karum 
Published: April 2022

Introduction. Insolation patterns play a decisive role in creating a comfortable microclimatic environment in building spaces. This is a relevant problem of thermal safety assurance for modern construction projects and better sanitary and hygienic conditions of indoor environments. The radiant energy of the sun is a priority in the architectural and structural design and the design of thermal shells of buildings.
Materials and methods. Theoretical, full-scale microclimatic and thermophysical field studies on structural envelopes of buildings were conducted to identify the contribution of insolation to thermal and wind patterns in the near-wall layer of building envelopes. These methods were verified using the analysis of research techniques, developed by domestic and foreign authors specializing in thermal physics of energy-efficient buildings. The authors developed a set of methods allowing to conduct new experimental studies of physical processes in the thermal air shell of the near-wall layer of envelope structures of real buildings.
Results. As a result of the field studies of thermal and wind processes underway near the structural envelope of buildings subjected to prolonged insolation, the authors learned that the microclimate turns uncongenial in the near-wall air layer of buildings and in building spaces. This microclimate has unique thermal conditions. The extent of impact, made by the external walls of buildings on the generation and regulation of thermal and wind patterns of the near-wall microclimate was identified. A model of convective flows of the near-wall microclimatic layer of multi-storied residential buildings was developed. These convective flows demonstrate high capacity and vertical mobility and cause the air mass to travel through the space of a building floor that has columns due to the thermal contrast between the opposite walls of buildings.
Conclusions. The authors have identified the contribution of solar energy to thermal and wind conditions in the air layer of thermal protective shells of buildings subjected to insolation. The mechanism, underlying the thermophysical processes arising in the course of interaction between insolation and the active surface of the thermal protective shell, is identified. The authors have formulated the preconditions for adjusting the design air temperature when assessing the thermal stability of building envelopes, taking into account the insolation conditions of facade systems of buildings. The preconditions for the relationship between outdoor and indoor air environments, as well as methods of natural aeration of premises have been demonstrated.
The concept for developing a programme model for the scientific and technical support of lifecycles of unique deeply embedded buildings
Authors: Lapidus Azariy A. , Topchiy Dmitry V. , Shevchenko Irina S. 
Published: April 2022

Introduction. Scientific and technical support (STS) serves as a quality control tool and a safety assurance instrument employed in the process of construction of unique buildings and structures having higher levels of importance. However, along with the lack of approved provisions on performance of these types of work at the stages of engineering surveys, design and construction, no scope of work is specified for deeply embedded buildings and structures. The aim of the study is to develop a model of a programme that will ensure the automated selection of works on the basis of pre-set parameters for of unique deeply embedded buildings and structures.
Materials and methods. The authors propose a step-by-step development pattern for an STS support programme model for unique deeply embedded buildings and structures. A step-by-step development of the model of a program for scientific and technical support of unique buildings and structures with the large deepening is proposed, which is based on: a comprehensive analysis of modern regulatory documents and existing ideas for improving the process of scientific and technical support, which forms a database of works of STS; general and special parameters for selecting works from a database of works have been established, which correspond with the under consideration type of unique object; the need for these parameters is reflected in the development of the model of a program and further use. The authors have proven the need to use these parameters in the process of developing the programme model.
Results. The programme model of STS support for unique deeply embedded buildings and structures tracks the actions taken by its users, the programme operation, the use of parameters by the programme, as well as internal interactions between the programme and the database.
Conclusions. The presented stages of developing a programme model will not only computerize the selection of works on the basis of general and special parameters within the framework of STS, they will also improve the STS support in general.
Efecto de la edad al primer parto sobre la longevidad, el número de días en producción y la producción de leche durante la vida productiva de las vacas lecheras Holstein y Pardo Suizo en Honduras
Authors: Copas Medina Karen Alessa , Valladares Rodas Manuel , Baeza Rodríguez Juan José , Magaña Monforte Juan Gabriel , Segura Correa José Candelario 
Published: April 2022

The aim was to determine the effect of age at first calving on longevity, lifetime number of productive days and lifetime milk yield of Holstein and Brown Swiss cows in the tropical savanna of Honduras. The information was collected from three dairy farms with Holstein (n = 1,391) and four farms with Brown Swiss cows (n = 480), born from 1993 to 2013, managed under intensive systems. The statistical model that described the variables of interest included the effect of farm, group of age at first calving, period of birth, season of birth and the interaction farm x period and the residual error. Effects of farm, period group of age at first calving and interaction of farm x period were found on the response variables. A favorable effect of the cows that had their first calving at an earlier age on lifetime number of days in production and lifetime milk yield, and an increase in longevity, in both Holstein and Brown Swiss cows (P<0.05). In conclusion, cows that calved at an early age had more productive days in the farm and produced more milk during their productive life. Therefore, make the heifers to calf at an early age could be a management strategy to increase productivity in the farm. However, the weight at first calving and physiological aspects of the animal should be taken into consideration.
Molecular markers of cardiac fibrosis after myocardial infarction
Authors: Barbarash O. L. , Kutikhin A. G. , Pecherina T. B. , Tarasov R. S. , Kashtalap V. V. , Fedorova N. V. , Bogdanov L. A. , Hryachkova O. N. , Sedykh D. Yu. 
Published: April 2022

Aim. To perform a screening for molecular markers of cardiac fibrosis upon myocardial infarction.Materials and Methods. We carried out echocardiography-guided endomyocardial biopsy of affected and intact interventricular septum segments of 7 patients with anterior myocardial infarction. Fibrotic and adjacent intact cardiac tissue was dissected into 2 equal segments and: 1) homogenized with the further RNA extraction, reverse transcription, and quantitative polymerase chain reaction; 2) fixed in formalin and embedded into paraffin with the further van Gieson staining for the histological verification of cardiac fibrosis.Results. We found that the expression of ACTA2, VIM, CTGF, COL1A1, TGFB1, TGFBR1, AGTR1, CCL2 and TNF genes in fibrotic cardiac tissue was ≥ 3-fold higher as compared with the adjacent intact myocardium reflective of active extracellular matrix production by fibroblast-derived myofibroblasts.Conclusion. We have for the first time shown AGTR1, CCL2, and TNF genes as candidates for post-infarction cardiac fibrosis in addition to ACTA2, VIM, CTGF, COL1A1, TGFB1, and TGFBR1 genes.
Dyslipidemia and risk of prostate canсer in patients with urologic diseases
Authors: Smirnov A. V. , Gruzdeva O. V. , Pomeshkin E. V. , Bragin-Maltsev A. I. 
Published: April 2022

Aim. To assess the impact of homeostasis parameters on risk of prostate cancer.Materials and Methods. The study included 108 patients with urologic diseases and with (n = 54) or without (n = 54) prostate cancer. Median age in both groups was 67 (interquartile range 64-73) years. Clinicopathological data and blood test results have been collected from outpatient and inpatient records. In particular, we measured serum levels of total testosterone and prostate-specific antigen.Results. Risk factors for prostate cancer include increased total cholesterol (p = 0.023), low-density lipoprotein cholesterol (p = 0.035), total triglycerides (p = 0.048), and total testosterone (p = 0.002). High levels of total testosterone directly correlated with the tumor stage (r = 0.56). The concentration of prostate-specific antigen correlated with the lipid parameters and remained a reliable diagnostic criterion (p = 0.002).Conclusion. The association of hyper/dyslipidemia with prostate cancer provides an opportunity to improve its prevention by routine lipid screening in high-risk groups.
4-1BB/4-1BBL signaling pathway in patients with influenza A (H1N1) virus-associated pneumonia
Authors: Malyarchikov A. V. , Shаpovаlov K. G. 
Published: April 2022

Aim. To evaluate the activity of the 4-1BB/4-1BBL signaling pathway in patients with influenza A (H1N1) virus-associated pneumonia.Materials and Methods. Here we enrolled 85 patients (41 males and 44 females, median age 48 (36-62) years) with influenza A (H1N1) virus-associated pneumonia. Among the exclusion criteria were unstable hemodynamics, BMI > 30, diabetes mellitus, HIV, tuberculosis, and cancer. Control group consisted of 15 healthy donors. The diagnosis of influenza A / H1N1 was confirmed by a positive PCR test. Pneumonia was diagnosed according to the Federal Clinical Guidelines «Community-acquired pneumonia in adults». Severity of pneumonia was evaluated by using CURB-65 and SMART-COP scales as well as IDSA/ATS criteria. Plasma concentration of 4-1BB (CD137 or TNFRSF9, an inducible costimulatory receptor expressed on activated T cells and antigen-presenting cells) was determined by flow cytometry.Results. Patients with moderate and severe influenza A (H1N1) virus-associated pneumonia had 1.5- and 2.4 fold-increased concentration of plasma 4-1ВВ as compared with the healthy controls.Conclusion. The 4-1BB/4-1BBL signaling pathway, involved in multiple immune reactions, is associated with the severity of influenza A (H1N1) virus-associated pneumonia.
Trends of vaccination against COVID-19 among pregnant women in Siberia
Authors: Artymuk N. V. , Parfenova Y. A. , Tachkova O. A. 
Published: April 2022

Aim. To evaluate the trends of vaccination against COVID-19 among pregnant women in Siberia for the period from October 29, 2021 to November 26, 2021.Materials and Methods. The vaccination data have been collected from official records from October 29, 2021 (86,859 pregnant women) and November 26, 2021 (85,600 pregnant women) in 10 regions of Siberia.Results. Before the pregnancy onset, as of October 29, 2021, only 4,056 (4.7%) women had past medical history of COVID-19. These numbers have significantly increased to November 26, 2021 (5,656, 6.6%, p < 0.001). The number of vaccinated pregnant women increased from 4,185 (4.8%) to 8,318 (9.7%) (p < 0.001). As of November 26, 2021, we registered a reduced proportion of women vaccinated at the preconception stage (from 4.6% to 4.0%, p < 0.001), yet the number of vaccinated pregnant women raised both before (from 0.7% to 1.3 %, p < 0.001) and after 22 weeks of pregnancy (from 1.6% to 2.3%, p < 0.001). The highest proportion of pregnant women was documented in the Tyva Republic and the Irkutsk Region (p < 0.01). Major vaccination-associated adverse events have not been reported.Conclusions. The proportion of pregnant women recovered or vaccinated from COVID-19 increased from October 29, 2021 (16.4%) to November 26, 2021 (23.9%); however, this rate is clearly insufficient to reach herd immunity and reduce maternal mortality from COVID-19.
Capacity of Self-Sealing Concrete Embedding Crystalline Admixture
Authors: Ndoj Genciana , Kastrati Armona , Elezi Erisa , Xhexhi Klodjan 
Published: April 2022

Concrete is one of the most intelligent and widely utilized man-made materials in the construction industry. Despite this, even high-quality concrete is susceptible to porosity, which reduces its serviceability period. Furthermore, there is an increasing need to increase longevity due to environmental exposure such as soil moisture, corrosive outside elements, or structural defects forming in the surface of concrete. The use of crystalline admixtures in concrete is one of the many approaches to reducing these risks. When crystalline admixtures come into contact with water, they form thin crystals that fill pores, capillaries, and micro fractures, as a result making concrete a self-sealing material. When the concrete has dried, the crystalline particles remain dormant until they come into contact with additional water, which causes them to crystallize once more.
This research aims to analyze and compare the material properties between commonly used concrete and concrete where crystalline waterproofing is present. Furthermore, experiments are conducted to evaluate each of the concrete samples: compressive strength, water permeability and flexure strength. As a result, demonstrating benefits or negative aspects in the use of crystalline admixture in the early stages of concrete is important. It is not yet defined, weather this is the future of cutting-edge concrete and the impact that it will have in the Albanian building market.