Published Research Data Research Articles

Mapping research data landscape in Africa using the Re3data and data citation Index

Despite the efforts made by most African countries in incubating the practice of research data sharing, little is known on the status of the research data sphere in the African landscape. This study was conducted to establish the status of research data and research data repositories (RDRs) in Africa. Specifically, the study intended to identify the country-wise contributions in terms of research data and research data repositories, trends of publication of research data by African countries, content type and the nature of research data repositories hosted by African countries. The study applied the quantitative research approach. The registry of research data repositories (re3data), which is the prominent worldwide registry for the research data repository, and the data citation index (DCI) hosted by the Web of Science were used in this study. Re3data and DCI index research data repositories and datasets respectively, from almost all the countries around the world. The study identified parameters that were extracted from re3data and DCI using the browse and search facilities. The extracted data were recorded into Google Sheets, refined, and analysed using MS Office Excel. The study found little contribution from the African countries regarding research data and research data repositories to re3data and DCI. The study found further that, despite the presence of a few repositories, most of them had restricted access to external users. This study concludes that African countries are still having a lot to do for the research data practices to be fully incubated. The study suggests that governments and other stakeholders should improve the facilitating conditions, including establishing relevant policies and infrastructures for the practice to be fully embraced.

Publicación de datos de investigación en el contexto de la comunicación científica

Introduction: Presents definitions, in light of the Open Science movement, on the practice of publishing research data. Objectives: Understand the terminological and conceptual universe, as well as its application in the context of Open Science. Methodology: Database literature review on the practice of publishing research data. Results: Scientific communication via publication of research data tends to increase and will be presented in different formats, and can be terminologically understood in different ways, however, it will always be in tune with the behavior and characteristics of each area of ​​knowledge. Conclusion: This behavior demonstrates the youthfulness of the practice and its absorption in the areas and by actors that make up the scientific communication scenario, providing opportunities for studies of areas in accordance with their information and data standards

Antimicrobial Resistance in the WHO African Region: A Systematic Literature Review 2016-2020.

Antimicrobial resistance (AMR) is a significant global public health threat. This review presents the most recent in-depth review of the situation of the main AMR types in relation to the most commonly prescribed antibiotics in the World Health Organization (WHO) African Region. Underlying genes of resistance have been analyzed where possible. A search to capture published research data on AMR from articles published between 2016 and 2020 was done using PubMed and Google Scholar, with rigorous inclusion/exclusion criteria. Out of 48003 articles, only 167 were included. Among the tested gram-negative bacteria species, Klebsiella spp. remain the most tested, and generally the most resistant. The highest overall phenotypic resistance for imipenem was reported in E. coli, whereas for meropenem, E. coli and Haemophilus spp. showed an equal resistance proportion at 2.5%. For gram-positive bacteria, Streptococcus pneumoniae displayed high resistance percentages to trimethoprim/sulfamethoxazole (64.3%), oxacillin (32.2%), penicillin (23.2%), and tetracycline (28.3%), whereas Staphylococcus aureus contributed to 22.8% and 10% resistance to penicillin and oxacillin, respectively. This review shows that AMR remains a major public health threat. The present findings will help public health decision-makers in developing efficient preventive strategies and adequate policies for antibiotic stewardship and surveillance in line with the global action plan for AMR.

Sharing data and code facilitates reproducible and impactful research

Modern research often involves the collection or analysis of data and the use of specialized computer algorithms. Traditional text articles thus provide only partial documentation of a research study. Readers have limited ability to reproduce or utilize work if the source data are not available or if it relies on an algorithm that is described, but code is not provided. Fortunately, a wide variety of tools are now available to support the publication of research data and code. The effort required to publish data is now relatively small, and the benefits can be immense. This opinion article discusses trends toward increased sharing in academic publishing. It describes opportunities and resources to support data and code sharing and describes the benefits for both authors and readers. Finally, it discusses how Earthquake Spectra is providing resources and enhancing its policies to establish the sharing of data as the default procedure when publishing in the journal, and encourage the sharing of code and other resources.

Parenting and Child Health: A Secondary Data Analysis of Perceived Influence of Abusive Parenting on Child’s Mental Health

Parenting is an essential part in child’s rearing which directly and indirectly contributes in child’s quality of life and wellbeing. Now a days it is highly significant factor contributing in child’s health across all domains. Children's formative years experiences with regard to parenting have significant impact on their development throughout lifespan. Objective of the study is to describe the consequences of maltreatment on children in all domain of life. Especially, the main focus is psychological wellbeing of child being effected. This study is conducted by analyzing the already published research data from approximately last 3 decades. Qualitative research design is used to describe the data for in-depth analysis. After intensive and in-depth literature analysis it is indicated that parenting has a great impact on child’s life throughout their lifespan. Furthermore, study also give the overview how maltreatment of parent’s effects child throughout their life in terms of emotional, behavioral, relationships and in general psycho-social wellbeing.

НЕАЛКОГОЛЬНАЯ ЖИРОВАЯ БОЛЕЗНЬ ПЕЧЕНИ И КАРДИОВАСКУЛЯРНЫЕ РИСКИ

Republican Scientific and Practical Center of Cardiology, Minsk, Belarus N on-alcoholic fatty liver disease is a multifactorial disease with a complicated mechanism development, which is associated with metabolic disorders, the functions of various organs and systems, as well as the occurrence of a number of diseases, in particular atherosclerosis. According to research conducted in recent years, non-alcoholic fatty liver disease is a predictor of adverse cardiovascular events and can act as an independent risk factor for the development of diseases of the circulatory system, regardless of the presence of diabetes mellitus, dyslipidemia or obesity. The purpose of this work is to analyze the published research data on the epidemiology, etiopathogenesis, diagnosis and features of the clinical course of non-alcoholic fatty liver disease in patients with diseases of the circulatory system as well as to characterize the current state of the problem and to determine the direction for further research.

Emulation of neuro-mimetic dynamics via GaSb/Si heterojunction V-DGTFET leaky-integrate-fire silicon neuron

A leaky integrate and fire (LIF) neuron property is emulated using vertically developed double gate GaSb/Si tunnel field effect transistor (V-DGTFET). The suggested device can precisely replicate the neuronal dynamics after considering and proper validating the numerical simulations. Silvaco-TCAD tool is exploited for emulation of neuronal attributes and found in good agreement with earlier published research data. The article reports the membrane threshold voltage of 0.47 V which is 3.2x, 2.13x, 2.13x, 1.28x times less as compared to silicon nanowire, MOSFET, phase change device and Bulk FinFET neuron. The energy required for mimicking the neurons is computed as 0.748 aJ which is 1.2 × 109, 4 × 107, 4.68 × 107, 1.34 × 107, 7.59 × 106, 8.42 × 103, 4.30 × 103 3.34 × 105, 2.41 × 105, 1.52 × 106, 26.7,2, 3.88 × 103 times less compared to CMOS, phase change device, SOI CMOS, PCMO RRAM, SiNPN, Bulk FinFET, BTBT based PDSOI MOS, FBFET, LBIMOS, DGJLFET, Si NIPIN, DL-TFET, silicon nano wire respectively. The biasing at second gate is used to induce potential well at channel region to accumulate hole carriers produced due to impact ionization. The threshold current is achieved at 0.20 V drain voltage which is 15x, 14x, 10x, and 1.5x less as compared to FinFET, PD-SOI MOSFET, LBIMOS, and DLTFET respectively. Furthermore, calculated spiking frequency of V-DGTFET LIF neuron is 534 GHz. Thus, remarkable enhancement in frequency of operation and an ultra-low energy per spike makes this neuron device a potential solution for implementing the neuro-mimetic behaviour at large scale.

Between corpora, tools and authority files

In this article, we discuss the ways in which Digital Humanities projects organise their resources, and argue for the need to collaborate with specialised services from other institutions for specific tasks, just as research publishers do. More specifically, we argue that libraries have a new central role to play in the publication of research data in repositories. Using the TextGrid Repository (TGR) as an example, we present its main components, its history, its main features, and discuss its advantages and disadvantages in comparison with similar repositories and technologies. We then present its current development within the Text+ consortium, both in the form of new features but also in the integration of existing corpora, making it interesting not only for German literature (as has been the case until now), but also for other traditions, especially Spanish literature.

The Landscape of Monogenic Parkinson's Disease in Populations of Non-European Ancestry: A Narrative Review.

There has been a bias in the existing literature on Parkinson's disease (PD) genetics as most studies involved patients of European ancestry, mostly in Europe and North America. Our target was to review published research data on the genetic profile of PD patients of non-European or mixed ancestry. We reviewed articles published during the 2000-2023 period, focusing on the genetic status of PD patients of non-European origin (Indian, East and Central Asian, Latin American, sub-Saharan African and Pacific islands). There were substantial differences regarding monogenic PD forms between patients of European and non-European ancestry. The G2019S Leucine Rich Repeat Kinase 2 (LRRK2) mutation was rather scarce in non-European populations. In contrast, East Asian patients carried different mutations like p.I2020T, which is common in Japan. Parkin (PRKN) variants had a global distribution, being common in early-onset PD in Indians, in East Asians, and in early-onset Mexicans. Furthermore, they were occasionally present in Black African PD patients. PTEN-induced kinase 1 (PINK1) and PD protein 7 (DJ-1) variants were described in Indian, East Asian and Pacific Islands populations. Glucocerebrosidase gene variants (GBA1), which represent an important predisposing factor for PD, were found in East and Southeast Asian and Indian populations. Different GBA1 variants have been reported in Black African populations and Latin Americans. Existing data reveal a pronounced heterogeneity in the genetic background of PD. A number of common variants in populations of European ancestry appeared to be absent or scarce in patients of diverse ethnic backgrounds. Large-scale studies that include genetic screening in African, Asian or Latin American populations are underway. The outcomes of such efforts will facilitate further clinical studies and will possibly contribute to the identification of either new pathogenic mutations in already described genes or novel PD-related genes.

Telenursing practice in the care of surgical cancer patients: a scoping review protocol

IntroductionTelenursing is a component of telehealth that occurs when nurses use information and communication technologies to provide care and nursing services remotely. To understand how telenursing services in surgical oncology...

WHAT IS THE MAIN FACTOR CONTROLLING THE SUKADANA BASALT IN THE SUMATRA BACK ARC?

The mechanism of the presence of the Sukadana basalt in the back arc of Sumatra is still an enigma, especially since the Sukadana basalt has a wide coverage area in Sumatra Island and even the Sunda Arc. In this study, we used the published research data as the main contributor to an in-depth analysis to determine the mechanism of the presence of Sukadana basalt in the back arc. This study is supported by other studies from different regions around the world. These strengthen our conclusion that the emergence of Sukadana basalt on the surface is controlled by extensional deformations associated with the northwest-southeast-trending normal fault, which are formed by the mechanism of gravitational subsidence due to the movement of the Sumatra fault. In this study we suppose that the Nishimura fracture is a sinistral strike-slip fault as it is consistent with the Riedel shear model.

LISTER: Semiautomatic Metadata Extraction from Annotated Experiment Documentation in eLabFTW.

The availability of scientific methods, code, and data is key for reproducing an experiment. Research data should be made available following the FAIR principle (findable, accessible, interoperable, and reusable). For that, the annotation of research data with metadata is central. However, existing research data management workflows often require that metadata be created by the corresponding researchers, which takes effort and time. Here, we developed LISTER as a methodological and algorithmic solution to create and extract metadata from annotated, template-based experimental documentation using minimum effort. We focused on tailoring the integration between existing platforms by using eLabFTW as the electronic lab notebook and adopting the ISA (investigation, study, assay) model as the abstract data model framework. LISTER consists of four components: annotation language to support metadata extraction; customized eLabFTW entries using specific hierarchies, templates, and tags to structure reusable scientific documentation; a "container" concept in eLabFTW, making metadata of a particular container content extractable along with its underlying, related experiments via a single click; a Python-based app to enable easy-to-use, semiautomated metadata extraction from eLabFTW entries. LISTER outputs metadata in machine-readable .json and human-readable .xlsx formats, and Material and Methods (MM) descriptions in .docx format that could be used in a thesis or manuscript. The metadata can be used as a basis to create or extend ontologies, which, when applied to the published research data, will significantly enhance its value. DSpace is used as a data cataloging platform for hosting the extracted metadata and research data. We applied LISTER to computational biophysical chemistry, protein biochemistry, and molecular biology, and our concept should be extendable to other life science areas.

Scientific Laboratory “Moscow Polyclinic”: Experience of Project Implementation

Background. In 2021, a new educational project “Scientific Laboratory ‘Moscow Polyclinic’” was launched. Its aim is to develop research competencies among primary health care workers and to boost activities such as journal publication and the organization of specialized scientific and practical conferences. The article briefly describes several characteristics and features of this project for two seasons (2021–2022).
 Materials and methods. The author collected, aggregated, statistically processed, and analyzed the comparative data for two project seasons.
 Results and discussion. The analysis included information on the project design (topic-based tracks, blocks “Transformation” and “Accelerator of Ideas”, sections “Science” and “Service Design”, Scientific Club), the results of sociological surveys and their interpretation, and the brief scientometric characteristics of participants’ publications. Between 2021 and 2022, 9818 specialists took part in the Scientific Laboratory; they were outpatient polyclinic care providers in the Moscow healthcare system. In addition, the number of speakers nearly doubled, and a community of mentors was formed from the active researchers in Moscow healthcare.
 Conclusions. The project speakers included leading foreign and Russian scientists, representatives of scientific journals and peer-reviewed research databases, and Moscow healthcare specialists. They shared with the participants their experience of planning, their methodology for conducting a study; algorithms for selecting a study topic, and the features of research data publication, including possible sources. The project mentors were the chief specialists of the Moscow Healthcare Department, and the heads of medical organizations experienced in carrying out the studies. As a result, the participants successfully published their articles in the peer-reviewed journals from the list of the Higher Attestation Commission (VAK). The project demonstrates that the employees of Moscow polyclinics are not only active professional physicians but also researchers with critical thinking and deep knowledge in clinical medicine.

Research Data Publication at Large Scale

The MPCDF is the high performance computing center of the Max Planck Society. Beside hosting compute clusters, around 300 petabytes of research data are stored at the MPCDF. Many of these datasets have a size of several terabytes up to petabytes and are stored over a heterogeneous landscape of storage systems. The datasets are covering a wide variety of scientific disciplines, many different data formats and access restrictions. For these reasons, it is not possible to offer one centralized data publishing solution for the datasets. Instead, the MPCDF developed a flexible data publishing concept.

The role of P450 enzymes in malaria and other vector-borne infectious diseases.

Vector-borne infectious diseases are still an important global health problem. Malaria is the most important among them, mainly pediatric, life-threatening disease. Malaria and other vector-borne disorders caused by parasites, bacteria, and viruses have a strong impact on public health and significant economic costs. Most vector-borne diseases could be prevented by vector control, with attention to the ecological and biodiversity conservation aspects. Chemical control with pesticides and insecticides is widely used as a measure of prevention although increasing resistance to insecticides is a serious issue in vector control. Metabolic resistance is the most common mechanism and poses a big challenge. Insect enzyme systems, including monooxygenase CYP P450 enzymes, are employed by vectors mainly to metabolize insecticides thus causing resistance. The discovery and application of natural specific inhibitors/blockers of vector P450 enzymes as synergists for commonly used pesticides will contribute to the "greening" of insecticides. Besides vector CYPs, host CYP enzymes could also be exploited to fight against vector-borne diseases: using mostly their detoxifying properties and involvement in the immune response. Here, we review published research data on P450 enzymes from all players in vector-borne infections, that is, pathogens, vectors, and hosts, regarding the potential role of CYPs in disease. We discuss strategies on how to exploit cytochromes P450 in vector-borne disease control.

Fermentation Characteristics, Digestibility, and Estimation of Ruminant Methane from Saponin: A Quantitative Study

The effect of using saponins on ruminants' performance differed from several published research data based on the level of saponins added to the feed. This research was conducted to analyze the effect of saponins on fermentation characteristics, digestibility, and estimation of methane in ruminants with a mixed model approach from published journal articles—a total of 127 studies from 32 journals national and international. The variable measured included the level of saponins (%), dry matter intake, Average Daily Gain (ADG), Dry Matter Digestibility (DMD), Organic Matter Digestibility (OMD), Crude protein (CP), Neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF), protozoa population, bacterial population, Volatile Fatty Acid (VFA), acetate/C2, propionate/C3, butyrate/C4, valerate/C5, acetate/propionate (C2/C3), NH3, pH, and methane gas production. The results showed that using saponins in ruminants increased ADG, CP, ADF, NDF degradation, Total VFA, and proportion of propionate. The addition of saponins level reduced the protozoa population, acetate proportion, and the ratio of acetate: to propionate (C2/C3). In contrast, feed intake and digestibility decreased with the administration of saponin. The bacterial population were similar among treatments, and methane production increased by increasing saponins. In conclusion, the administration of saponin level recommended is 0.3-3.1% of the total ration to improve performance and increase feed efficiency.

A modular systematic review of antenatal interventions targeting modifiable environmental exposures in improving low birth weight

BackgroundLow birth weight (LBW) increases the risk of short- and long-term morbidity and mortality from early life to adulthood. Despite research effort to improve birth outcomes the progress has been slow. ObjectiveThis systematic search and review of English language scientific literature on clinical trials aimed to compare the efficacy antenatal interventions to reduce environmental exposures including a reduction of toxins exposure, and improving sanitation, hygiene, and health-seeking behaviors, which target pregnant women to improve birth outcomes. MethodsWe performed eight systematic searches in MEDLINE (OvidSP), Embase (OvidSP), Cochrane Database of Systematic Reviews (Wiley Cochrane Library), Cochrane Central Register of Controlled Trials (Wiley Cochrane Library), CINAHL Complete (EbscoHOST) between 17 March 2020 and 26 May 2020. ResultsFour documents identified describe interventions to reduce indoor air pollution: two randomised controlled trials (RCTs), one systematic review and meta-analysis (SRMA) on preventative antihelminth treatment and one RCT on antenatal counselling against unnecessary caesarean section. Based on the published literature, interventions to reduce indoor air pollution (LBW: RR: 0.90 [0.56, 1.44], PTB: OR: 2.37 [1.11, 5.07]) or preventative antihelminth treatment (LBW: RR: 1.00 [0.79, 1.27], PTB: RR: 0.88 [0.43, 1.78]) are not likely to reduce the risk of LBW or Preterm birth (PTB). Data is insufficient on antenatal counselling against caesarian-sections. For other interventions, there is lack of published research data from RCTs. ConclusionsWe conclude that there is a paucity of evidence from RCT on interventions that modify environmental risk factors during pregnancy to potentially improve birth outcomes. Magic bullets approach might not work and that it would be important to study the effect of the broader interventions, particularly in LMIC settings. Global interdisciplinary action to reduce harmful environmental exposures, is likely to help to reach global targets for LBW reduction and sustainably improve long-term population health.

Armed attacks in educational institutions: social, psychological and informational problems of education security in Russia and abroad

Relevance. The history of armed attacks on educational institutions originated in the United States, but in recent decades this social phenomenon has spread widely to other countries, including Russia. Mass social tragedies associated with deaths of the youth cause great concern among all groups of population and require comprehensive prevention measures.The objective of the study is to identify social environmental factors that shape school shooter mentality, as well as to explore various strategies to prevent attacks in educational institutions of different levels (kindergartens, schools, universities).Methods. Armed attacks in educational institutions are the focus of our research. The material includes published research data (articles, dissertations and monographs) in English and Russian. The set of methods included generalizing conclusions published by peer investigators regarding the considered matter. Bibliographic databases (i.e. Federal State Institution “Russian State Library”, library platforms of Lomonosov Moscow State University and Peoples’ Friendship University of Russia) and scientific networks (ResearchGate, Web of Knowledge, Scopus, Google Scholar, Academia.edu, Mendeley) were used to explore research data. The findings present over 127 thousand publications regarding meta-analysis of armed attacks and mass shooting that occurred in educational institutions, as well as their social, psychological, cultural, and informational implications.Results and Discussion. The analysis of data regarding armed attacks in educational institutions demonstrates a very specific phenomenon that belongs to a specific type of crimes. Findings show that mass shootings of schoolchildren and students occur annually in the United States, apparently due to the free circulation of firearms and the cult of the guns. From 1974 to 1921 the US witnesses over 50 major armed attacks causing over a hundred deaths. In China, this problem is also substantial due to the country’s rapid and profound social changes (reforms, gender imbalance and demographic policy). Cold arms (knives, hammers) is the major weapon of assault in China, which caused deaths of at least a hundred children. In Europe, school shooting is not a critical problem, with only few cases reported by a few countries (Germany, Denmark and Finland). Russia shows no increase in the number of armed attacks using firearms or cold arms. In general, such incidents occur annually (1 to 4 violence cases) and are associated with slumped standards of living, increased aggression, social and psychological maladaptation among the population. To solve this problem, an integrated approach is needed, which could bring together technical and social aspects. The technical aspects imply broader use of video surveillance security systems and barriers, as well as regular profound inspections of school grounds (the venue and inside the school building). However, preventive measures should effectively provide for the social aspect to ensure expanded and deeper social and communicative relations within the student – administration / school teacher – parents paradigm. Taken together, these measures are bound o mitigate many factors of antisocial, aggressive, and violent behaviors in schools.Conclusion. A comprehensive analysis of Russian and foreign literature regarding armed attacks in educational institutions suggests that this is an independent psychosocial phenomenon. A system approach of the study allowed to establish a school shooter’s presumable portrait, as well as to identify typical social and personal characteristics of a shooter’s personality (i.e. social isolation; lack of individual ability to cope with life difficulties, such as study failures, conflicts at school or in the family; weak social integration at school and in other communities; decreased self-esteem and identity-related problems, in particular gender-related issues).

Industrialized house building productivity growth

PurposeThe purpose of this paper is to understand if and how industrialized house building (IHB) could support productivity developments for housebuilding on project and industry levels. The take is that fragmentation of construction is one explanation for the lack of productivity growth, and that IHB could be an integrating method of overcoming horizontal and vertical fragmentation.Design/methodology/approachSinge-factor productivity measures are calculated based on data reported by IHB companies and compared to official produced and published research data. The survey covers the years 2013–2020 for IHB companies building multi-storey houses in timber. Generalization is sought through descriptive statistics by contrasting the data samples to the used means to control vertical and horizontal fragmentation formulated as three theoretical propositions.FindingsAccording to the results, IHB in timber is on average more productive than conventional housebuilding at the company level, project level, in absolute and in growth terms over the eight-year period. On the company level, the labour productivity was on average 10% higher for IHB compared to general construction and positioned between general construction and general manufacturing. On the project level, IHB displayed an average cost productivity growth of 19% for an employed prefabrication degree of about 45%.Originality/valueEmpirical evidence is presented quantifying so far perceived advantages of IHB. By providing analysis of actual cost and project data derived from IHB companies, the article quantifies previous research that IHB is not only about prefabrication. The observed positive productivity growth in relation to the employed prefabrication degree indicates that off-site production is not a sufficient mean for reaching high productivity and productivity growth. Instead, the capabilities to integrate the operative logic of conventional housebuilding together with logic of IHB platform development and use is a probable explanation of the observed positive productivity growth.

Current concepts of the radio-biological effects of plutonium and uranium (Based on ICRP Publication 150)

Introduction. The article discusses the health risks associated with exposure to plutonium and uranium, given in ICRP Publication 150 and relevant in the context of the development of technologies, the production of new types of nuclear fuel.
 Cancer risk from plutonium exposure. Exposure to plutonium occurs predominantly in industrial settings. After inhalation and deposition in the respiratory tract, plutonium is eliminated by particle transport to the digestive tract and lymph nodes, and by absorption into the blood. The main risk associated with exposure to plutonium is lung cancer. Comparing the lifetime excess risk of mortality from lung cancer due to external gamma radiation (based on a lifetime survey of Japanese residents who survived the atomic bombing) and internal exposure to plutonium alpha particles (based on a study of Mayak employees), for the same absorbed dose to the lungs, the risk associated with exposure to plutonium alpha particles was found to be greater than the risk associated with external gamma exposure by about 15–16 and 19–22 times.
 Cancer risk from exposure to uranium. At present, there is very little evidence to suggest a relationship between internal dose due to uranium exposure and cancer risk. ICRP Publication 150 provides a critical review of the UNSCEAR Report 2016 (2017) and discusses recent epidemiological studies. There are different health hazards at different stages of the nuclear fuel cycle, given the different forms of uranium present at each stage. Estimating doses from exposure to uranium for workers in the nuclear fuel cycle is difficult due to the relatively rapid elimination of uranium from the bloodstream, variability in exposure to uranium compounds, and differences in the methods used to control internal exposure. Based on published research data, it is not possible to quantify the risk of cancer from uranium by doses to individual organs/tissues.
 Conclusion. Research was carried out as a part of the study of the properties of new types of nuclear fuel should take into account the comprehensive data presented in ICRP Publication 150.