bluuebunny/crossref_metadata_2025_split huggingface dataset:
PAI-BEL: a Belgian multicentre survey of primary adrenal insufficiency
Authors: Driessens Natacha , Prasai Madhu , Alexopoulou Orsalia , De Block Christophe , Van Caenegem Eva , T’Sjoen Guy , Nobels Frank , Ghys Christophe , Vroonen Laurent , Jonas Corinne , Corvilain Bernard , Maiter Dominique 
Published: March 2023

Objective
Primary adrenal insufficiency (PAI) is a rare disease with an increasing prevalence, which may be complicated by life-threatening adrenal crisis (AC). Good quality epidemiological data remain scarce. We performed a Belgian survey to describe the aetiology, clinical characteristics, treatment regimens, comorbidities and frequency of AC in PAI.

Methods
A nationwide multicentre study involving 10 major university hospitals in Belgium collected data from adult patients with known PAI.

Results
Two hundred patients were included in this survey. The median age at diagnosis was 38 years (IQR 25–48) with a higher female prevalence (F/M sex ratio = 1.53). The median disease duration was 13 years (IQR 7–25). Autoimmune disease was the most common aetiology (62.5%) followed by bilateral adrenalectomy (23.5%) and genetic variations (8.5%). The majority (96%) of patients were treated with hydrocortisone at a mean daily dose of 24.5 ± 7.0 mg, whereas 87.5% of patients also received fludrocortisone. About one-third of patients experienced one or more AC over the follow-up period, giving an incidence of 3.2 crises per 100 patient-years. There was no association between the incidence of AC and the maintenance dose of hydrocortisone. As high as 27.5% of patients were hypertensive, 17.5% had diabetes and 17.5% had a diagnosis of osteoporosis.

Conclusion
This study provides the first information on the management of PAI in large clinical centres in Belgium, showing an increased frequency of postsurgical PAI, a nearly normal prevalence of several comorbidities and an overall good quality of care with a low incidence of adrenal crises, compared with data from other registries.
A cell marker‐based clustering strategy (cmCluster) for precise cell type identification of scRNA‐seq data
Authors: Huang Yuwei , Chang Huidan , Chen Xiaoyi , Meng Jiayue , Han Mengyao , Huang Tao , Yuan Liyun , Zhang Guoqing 
Published: March 2023

BackgroundThe precise and efficient analysis of single‐cell transcriptome data provides powerful support for studying the diversity of cell functions at the single‐cell level. The most important and challenging steps are cell clustering and recognition of cell populations. While the precision of clustering and annotation are considered separately in most current studies, it is worth attempting to develop an extensive and flexible strategy to balance clustering accuracy and biological explanation comprehensively.MethodsThe cell marker‐based clustering strategy (cmCluster), which is a modified Louvain clustering method, aims to search the optimal clusters through genetic algorithm (GA) and grid search based on the cell type annotation results.ResultsBy applying cmCluster on a set of single‐cell transcriptome data, the results showed that it was beneficial for the recognition of cell populations and explanation of biological function even on the occasion of incomplete cell type information or multiple data resources. In addition, cmCluster also produced clear boundaries and appropriate subtypes with potential marker genes. The relevant code is available in GitHub website (huangyuwei301/cmCluster).ConclusionsWe speculate that cmCluster provides researchers effective screening strategies to improve the accuracy of subsequent biological analysis, reduce artificial bias, and facilitate the comparison and analysis of multiple studies.
Computational methods for identifying enhancer‐promoter interactions
Authors: Gong Haiyan , Chen Zhengyuan , Tang Yuxin , Li Minghong , Zhang Sichen , Zhang Xiaotong , Chen Yang 
Published: March 2023

BackgroundAs parts of the cis‐regulatory mechanism of the human genome, interactions between distal enhancers and proximal promoters play a crucial role. Enhancers, promoters, and enhancer‐promoter interactions (EPIs) can be detected using many sequencing technologies and computation models. However, a systematic review that summarizes these EPI identification methods and that can help researchers apply and optimize them is still needed.ResultsIn this review, we first emphasize the role of EPIs in regulating gene expression and describe a generic framework for predicting enhancer‐promoter interaction. Next, we review prediction methods for enhancers, promoters, loops, and enhancer‐promoter interactions using different data features that have emerged since 2010, and we summarize the websites available for obtaining enhancers, promoters, and enhancer‐promoter interaction datasets. Finally, we review the application of the methods for identifying EPIs in diseases such as cancer.ConclusionsThe advance of computer technology has allowed traditional machine learning, and deep learning methods to be used to predict enhancer, promoter, and EPIs from genetic, genomic, and epigenomic features. In the past decade, models based on deep learning, especially transfer learning, have been proposed for directly predicting enhancer‐promoter interactions from DNA sequences, and these models can reduce the parameter training time required of bioinformatics researchers. We believe this review can provide detailed research frameworks for researchers who are beginning to study enhancers, promoters, and their interactions.
Effect of ecoregion and river type on neotropical Chironomidae (Diptera) from humid mountain to semiarid lowland
Authors: Pero Edgardo Javier Ignacio , Torrejón Silvia Elena , Molineri Carlos 
Published: March 2023

Introduction: Chironomidae (Diptera) is the most widespread and abundant aquatic insect family in freshwater ecosystems. Chironomids are considered good indicators of water quality but are seldom identified at the genus level in broad spatial scale studies. Objective: To identify environmental conditions associated with chironomids in an altitudinal gradient. Methods: We compared ecoregions, river types, and seasons, for chironomids in neotropical streams and rivers (18 river sites; 2014-2018; Yungas rainforest and Western Chaco dry forest, Argentina). We used non-metric multidimensional scaling, dissimilarity, envfit analysis and rank-abundance curves. Results: Chironomic “assemblages” matched both ecoregions and river types. However, ecoregions presented a better fit with species composition. The stenothermal taxa of Orthocladiinae were dominant at high elevations and the eurythermal Chironominae in lowland rivers. Altitude, water temperature and conductivity were important. Seasonal differences were smaller than ecoregional differences. Conclusions: Ecoregions, altitude, water temperature and conductivity correlated with chironomid communities. Orthocladiinae were dominant at high elevations and Chironominae in lowland rivers.
Integrated method for planning waste management based on the material flow analysis and life cycle assessment
Authors: Bendiuh Vladyslav , Markina Liudmyla , Matsai Nataliia , Kyrpychova Iryna , Boichenko Sergii , Priadko Serhii , Shkilniuk Iryna , Komarysta Bohdana , Yermakovych Iryna , Vlasenko Oleh 
Published: March 2023

This paper gives a solution to the problem of improving a solid waste management system through the integration of two systemic methodologies: material flow analysis and life cycle assessment. The proposed method serves to assess the effectiveness of the implementation of various waste management measures.
The study was carried out with the detailing of the anaerobic digestion process since it is this recycling technology that plays a key role in reducing the amount of waste along with the production of renewable energy and in reducing the adverse effects on the external environment.
Simulation of changes in waste properties in a certain processing sequence was carried out in order to obtain reliable information for further optimization of the system. The proposed modeling of waste treatment processes based on their constituent equations made it possible to adequately reflect the impact of changes in working conditions on all subsequent output flows.
The analysis of material flows for an enterprise of mechanical and biological treatment of waste is presented and the use of the model in the context of the process of anaerobic digestion of household waste is illustrated. It was found that anaerobic digestion potentially makes it possible to obtain 4.1 Gj of biogas energy from 1 HSW, which corresponds to 460 kWh of electricity and 2060 MJ of heat.
The developed method is based on a combination of analysis of material flows and life cycle assessment. The method acts as a tool for comparing alternative technologies and waste management scenarios. In the future, it can serve to support waste management decisions at both the strategic and operational levels
Assessing risk caused by atmospheric air pollution from motor vehicles to the health of population in urbanized areas
Authors: Mislyuk Olga , Khomenko Elena , Yehorova Oksana , Zhytska Liudmyla 
Published: March 2023

The object of this study is a regional center with a developed industry and a significant transport load. The study assesses the impact of car emissions on public health. It is shown that on average in the city, emissions from vehicles are 0.341 mg/m∙s and vary from 0.038 to 1.012 mg/m∙s. The main pollutants are nitrogen dioxide (from 39.3 to 58.5 % of the total emission, the average value is 50.9 %) and carbon monoxide (from 39.5 to 47.7 %, the average value is 38.7 %). There is an excess of the maximum permissible concentrations (MPC) by the content of NO2 (1.5‒4.5 MPC with an average value of 2.7 MPC), formaldehyde (4.3‒4.4 MPC ), hydrocarbons (1.2 MPC), soot (1.3 MPC). The level of carcinogenic danger for adults (R=1.9∙10-4) and children (R=3.8∙10-5‒9.8∙10-5) is rated as average. Soot (61.0 %) and formaldehyde (38.9 %) account for the largest contribution. Behind a non-carcinogenic risk, there is a significant danger of increasing morbidity of the population (HI=9.9‒14.0 with an average value of 11.1). Principal pollutants are formaldehyde (37 %), NO2 (23 %), hydrocarbons (17 %). The most vulnerable are the respiratory system (НІ=8.7) and the immune system (НІ=4.3). A significant health hazard is due to low fuel quality, technical and operational characteristics of cars, adverse natural conditions for the dispersion of impurities. The method of interpolation and extrapolation of the results of full-scale observations was used to assess the effect of gaseous and dust components from vehicles on humans. The current study makes it possible to assess the combined impact of pollutants on the risks of disease and premature death of the population, to identify the danger and zoning the territory by the level of danger. The results obtained can be important for making effective management decisions in the field of environmental protection and public health
Reducing the impact of interchannel interference on the efficiency of signal transmission in telecommunication systems of data transmission based on the ofdm signal
Authors: Makarenko Anatoliy , Qasim Nameer , Turovsky Oleksandr , Rudenko Nataliia , Polonskyi Konstiantyn , Govorun Oleg 
Published: March 2023

This paper considers the process that forms an interchannel transient interference in the structure of the signal created on the basis of the technology of parallel data transmission and frequency distribution with multiplexing of the phase-modulated signal – the OFDM signal.
Based on the analysis of the OFDM signal structure, it was determined that changes in the position and parameters of the carrier symbol from the composition of this OFDM symbol create an interchannel transient interference.
A list of OFDM signal parameters that can affect the appearance of interchannel interference and the value of its quantitative value was summarized and presented. A model for assessing the impact of interchannel interference on the efficiency of signal transmission in telecommunication data transmission systems based on the OFDM signal has been developed and proposed.
Based on mathematical modeling using this model, the dependence of the quantitative assessment of the magnitude of the interchannel interference on the magnitude of the protective interval for different values of the interchannel value with a different number of signal pre-reception has been established. It is shown that an increase in the value of the interchannel value to 96 subchannels makes it possible to achieve an interchannel transient interference of less than 3 percent with a protective interval of more than 2 ms already with one pre-reception. This is explained by the fact that the increase in the interchannel value makes it possible to reduce the value of the protective interval and minimizes the effect of frequency distortions of the sub-channel of one channel.
The data reported in this work and the recommendations substantiated on their basis confirm the possibility of the proposed model for assessing the value of the interchannel transient interference and justifying the recommendations for reducing its impact on the efficiency of signal transmission in telecommunication data transmission systems based on the OFDM signal.
The proposed evaluation model can find practical application in improving existing and developing new telecommunication data transmission systems based on OFDM technology
Improvement of cleaning parameters of pipeline elements based on simulation of movement of solid magnetite particles in electrically conductive liquid
Authors: Rogovyi Andrii , Chernetska-Biletska Nataliia , Miroshnykova Mariia , Baranov Ihor , Polupan Yevhen 
Published: March 2023

The unique properties of liquids that can interact with electric and magnetic fields are used in mechanical engineering, technology and medicine. The possibility of the influence of the magnetic field on the solid particles of the liquid in the pipeline allows cleaning of the solid walls of the pipeline, which is the object of the study. Magnetic liquids are solutions of ferromagnets in a liquid, and their physical properties in a magnetic field cause structural transformations in such liquids.
The treatment of electrically conductive liquids in a magnetic field and their use for cleaning water from oil or oil residues are considered. On the basis of numerical modeling, the movement of solid particles of magnetite, which is part of an electrically conductive liquid, was investigated by jointly solving the equations of Reynolds, Maxwell, non-discontinuity and the turbulence model. The physical phenomena of the movement of solid particles of magnetite-based conductive liquid in various elements of the pipeline were determined, which improved the parameters of cleaning liquids contaminated with oil and oil. The magnetic particles of the electrically conductive liquid quite nicely fill the boundaries of the intersection if there is a flow reversal, as it happens in radiators. An increase in the intensity of the magnetic field leads to a change in the velocity profile of the conductive liquid, which prevents magnetite particles from penetrating close to the wall. An increase in the power of the magnetic field makes it possible to detach the contamination from the walls of the pipeline together with the solid particle of magnetite. A 73 % increase in wear in certain sections of the pipeline is due to the effect of the centrifugal force acting on the particle during rotation.
The sudden expansion of the flow makes it difficult for particles to reach the pipe surfaces, which worsens the cleaning conditions. The number of particles on the surface is 82 % less compared to the absence of sudden expansion
Immunohistochemical neuroinflammatory markers in the hippocampus of PTZ-kindled rats under conditions of rapamycin and axitinib treatment
Authors: Poshyvak Olesya , Pinyazhko Oleh , Godlevsky Leonid , Pervak Mykhailo , Yehorenko Olha , Doganyigit Zuleyha , Okan Asli , Akyuz Enes , Hathal Suliman N. A. , Liashenko Artem Volodimirovich 
Published: March 2023

The aim of the study is to determine the level of HIF-1α, TNF-α, and NF-kB in the hippocampus of kindled rats treated with rapamycin and axitinib.
Materials and methods. Kindling was produced in 29 rats by administration of three-week pentylenetetrazole (PTZ, 35.0 mg/kg, i.p.). Treatment with rapamycin (0.5 mg/kg, i.p.) and axitinib (2.5 mg/kg, i.p.) was performed for ten days in fully kindled rats. The avidin-biotin-peroxidase method was used for hippocampal slice staining. For negative control, staining was performed using only secondary antibodies.
Results. The HIF-1α expression increased in kindled rats raised by 1.77 times compared to the control (p<0.001). Axitinib treatment resulted in of HIF-1α level of 16.7 % (p<0.05) compared with kindled animals, while combined treatment with rapamycin and axitinib reduced HIF-1α by 33.8 % (p<0.01). In kindled rats, TNF-α expression was 3.74 times greater than in control (p<0.001). Rapamycin treatment reduced TNF-α by 31.0 % (p<0.01). Axitinib treatment caused a reduction of TNF-α by 21.1 % (p<0.05). Combined treatment with rapamycin and axitinib reduced TNF-α by 48.0 % (p<0.001) but still exceeded the TNF-α in control by 1.95 times (p<0.01). NF-kB level in kindled rats exceeded the control by three times (p<0.001). Rapamycin caused a reduction of 19.3 % (p>0.05), while axitinib – by 26.5 % (p<0.05) compared with kindled rats. Combined treatment with rapamycin and axitinib resulted in NF-kB reduction by 56.7 % compared with kindled rats (p<0.001).
Conclusions. PTZ-kindling resulted in an increase in the immunoreactivity of HIF-1α, TNF-α, and NF-kB in the hippocampus. Combined treatment with rapamycin and axitinib engendered prevention of generalized seizures and normalized the level of HIF-1α and NF-kB with a significant reduction of TNF-α. Effects of treatment favours of synergy action of rapamycin and axitinib
APPLICATION OF TWO-DIMENSIONAL PADÉ-TYPE APPROXIMATIONS FOR IMAGE PROCESSING
Authors: Olevskyi V. I. , Hnatushenko V. V. , Korotenko G. M. , Olevska Yu. B. , Obydennyi Ye. O. 
Published: March 2023

Context. The Gibbs phenomenon introduces significant distortions for most popular 2D graphics standards because they use a finite sum of harmonics when image processing by expansion of the signal into a two-dimensional Fourier series is used in order to reduce the size of the graphical file. Thus, the reduction of this phenomenon is a very important problem.
Objective. The aim of the current work is the application of two-dimensional Padé-type approximations with the aim of elimination of the Gibbs phenomenon in image processing and reduction of the size of the resulting image file.
Method. We use the two-dimensional Padé-type approximants method which we have developed earlier to reduce the Gibbs phenomenon for the harmonic two-dimensional Fourier series. A definition of a Padé-type functional is proposed. For this purpose, we use the generalized two-dimensional Padé approximation proposed by Chisholm when the range of the frequency values on the integer grid is selected according to the Vavilov method. The proposed scheme makes it possible to determine a set of series coefficients necessary and sufficient for construction of a Padé-type approximation with a given structure of the numerator and denominator. We consider some examples of Padé approximants application to simple discontinuous template functions for both formulaic and discrete representation.
Results. The study gives us an opportunity to make some conclusions about practical usage of the Padé-type approximation and about its advantages. They demonstrate effective elimination of distortions inherent to Gibbs phenomena for the Padé-type approximant. It is well seen that Padé-type approximant is significantly more visually appropriate than Fourier one. Application of the Padétype approximation also leads to sufficient decrease of approximants’ parameter number without the loss of precision.
Conclusions. The applicability of the technique and the possibility of its application to improve the accuracy of calculations are demonstrated. The study gives us an opportunity to make conclusions about the advantages of the Padé-type approximation practical usage.
COMPARISON OF SHORT-TERM FORECASTING METHODS OF ELECTRICITY CONSUMPTION IN MICROGRIDS
Authors: Parfenenko Yu. V. , Shendryk V. V. , Kholiavka Ye. P. , Pavlenko P. M. 
Published: March 2023

Context. The current stage of development of the electric power industry is characterized by an intensive process of microgrid development and management. The feasibility of using a microgrid is determined by the fact that it has a number of advantages compared to classical methods of energy generation, transmission, and distribution. It is much easier to ensure the reliability of electricity supply within the microgrid than in large energy systems. Energy consumers in a microgrid can affect the power balancing process by regulating their loads, generating, storing, and releasing electricity. One of the main tasks of the microgrid is to provide consumers with electrical energy in a balance between its generation and consumption. This is achieved thanks to the intelligent management of the microgrid operation, which uses energy consumption forecasting data. This allows to increase the efficiency of energy infrastructure management.
Objective. The purpose of this work is to develop short-term electricity consumption forecasting models for various types of microgrid electricity consumers, which will improve the efficiency of energy infrastructure management and reduce electricity consumption.
Method. The SARIMA autoregressive model and the LSTM machine learning model are used to obtain forecast values of electricity consumption. AIC and BIC information criteria are used to compare autoregressive models. The accuracy of forecasting models is evaluated using MAE, RMSE, MAPE errors.
Results. The experiments that forecast the amount of electricity consumption for the different types of consumers were conducted. Forecasting was carried out for both LSTM and AR models on formed data sets at intervals of 6 hours, 1 day, and 3 days. The forecasting results of the LSTM model met the forecasting requirements, providing better forecasting quality compared to AR models.
Conclusions. The conducted study of electricity consumption forecasting made it possible to find universal forecasting models that meet the requirements of forecasting quality. A comparative analysis of developed time series forecasting models was performed, as a result of which the advantages of ML models over AR models were revealed. The predictive quality of the LSTM model showed the accuracy of the MAPE of forecasting electricity consumption for a private house – 0.1%, a dairy plant – 3.74%, and a gas station – 3.67%. The obtained results will allow to increase the efficiency of microgrid management, the distribution of electricity between electricity consumers to reduce the amount of energy consumption and prevent peak loads on the power grid.