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Contribution of pancreatic enzyme replacement therapy to survival and quality of life in patients with pancreatic exocrine insufficiency

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World Journal of Gastroenterology 2019年第20期25卷 2430-2441页

作者： Peter Layer nataliya kashirskaya Natalya Gubergrits Department of Internal Medicine Israelitic HospitalHamburg 22297Germany Department of Genetic Epidemiology (Cystic Fibrosis group) Federal State Budgetary Institution “Research Centre for Medical Genetics”Moscow 115522Russia Department of Internal Medicine Donetsk National Medical UniversityLyman 83001Ukraine

The objective of this study was to analyze the current evidence for the use of pancreatic enzyme replacement therapy (PERT) in affecting survival and quality of life in patients with pancreatic exocrine insufficiency (PEI). Systematic searches of the literature were performed using the PubMed database. Articles were selected for inclusion if they reported findings from trials assessing the effects of PERT on quality of life, survival, malabsorption, growth parameters (such as height, body weight and body mass index), or gastrointestinal symptoms (such as abdominal pain, stool consistency and flatulence). PERT improved PEI-related malabsorption and weight maintenance in patients with cystic fibrosis, chronic pancreatitis, pancreatic cancer, and post-surgical states. In patients with chronic pancreatitis, PERT improved PEI-related symptoms and quality of life measures. Several small retrospective studies have also suggested that PERT may have a positive impact on survival, but long-term studies assessing this effect were not identified. PERT is effective for treating malnutrition and supporting weight maintenance, and it is associated with improved quality of life and possibly with enhanced survival in patients with PEI. However, there is evidence that not all patients with PEI receive adequate PERT. Future work should aim to assess the long-term effects of PERT on the survival of patients with PEI.

关键词： Pancreatic exocrine insufficiency Pancreatic enzyme replacement therapy Survival Quality of life Malabsorption Cystic fibrosis Chronic pancreatitis Pancreatic cancer Post-surgical states

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Optimization of the Active Composition of the Wind Farm Using Genetic Algorithms

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Computers, Materials & Continua 2021年第12期69卷 3065-3078页

作者： nataliya Shakhovska Mykola Medykovskyy Roman Melnyk nataliya Kryvinska Department of Artificial Intelligence Lviv Polytechnic National UniversityLviv79013Ukraine Department of Automared Systems Control Lviv Polytechnic National UniversityLviv79013Ukraine Faculty of Management Comenius UniversityBratislava81499Slovakia

The article presents the results of research on the possibilities of using genetic algorithms for solving the multicriteria optimization problem of determining the active components of a wind *** is carried out on two parameters:efficiency factor of wind farm use(integrated parameter calculated on the basis of 6 parameters of each of the wind farm),average power deviation level(average difference between the load power and energy generation capabilities of the active wind farm).That was done an analysis of publications on the use of genetic algorithms to solve multicriteria optimization *** simulations were performed,which allowed us to analyze the obtained statistical data and determine the main optimization *** was carried out a comparative analysis of the obtained results with other methods,such as the dynamic programming method;the dynamic programming method with the general increase of the set loading;the modified dynamic programming method,neural *** is established that the average power deviation for the genetic algorithm and for the modified dynamic programming method is located at the same level,33.7 and 28.8 kW,*** average value of the efficiency coefficient of wind turbine used for the genetic algorithm is 2.4%less than for the modified dynamic programming ***,the time of finding the solution by the genetic algorithm is 3.6 times less than for the modified dynamic programming *** obtained results provide an opportunity to implement an effective decision support system in energy flow management.

关键词： Wind farm genetic algorithm active composition of the wind farm optimization

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An Ensemble Methods for Medical Insurance Costs Prediction Task

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Computers, Materials & Continua 2022年第2期70卷 3969-3984页

作者： nataliya Shakhovska Nataliia Melnykova Valentyna Chopiyak Michal Gregus ml Department of Artificial Intelligence Lviv Polytechnic National UniversityLviv79013Ukraine Department of Clinical Immunology and Allergology Danylo Halytsky Lviv National Medical UniversityLviv79010Ukraine Faculty of Management Comenius UniversityBratislava81499Slovakia

The paper reports three new ensembles of supervised learning predictors for managing medical insurance *** open dataset is used for data analysis methods *** usage of artificial intelligence in the management of financial risks will facilitate economic wear time and money and protect patients’*** learning is associated withmany expectations,but its quality is determined by choosing a good algorithm and the proper steps to plan,develop,and implement the *** paper aims to develop three new ensembles for individual insurance costs prediction to provide high prediction *** coefficient and Boruta algorithm are used for feature *** boosting,stacking,and bagging ensembles are built.A comparison with existing machine learning algorithms is *** modes based on regression tree and stochastic gradient descent is *** CART and Random Forest algorithms are *** boosting and stacking ensembles shown better accuracy than *** tuning parameters for boosting do not allow to decrease the RMSE ***,bagging shows its weakness in generalizing the *** stacking is developed using K Nearest Neighbors(KNN),Support Vector Machine(SVM),Regression Tree,Linear Regression,Stochastic Gradient *** random forest(RF)algorithm is used to combine the *** hundred trees are built *** Square Error(RMSE)has lifted the to 3173.213 in comparison with other *** quality of the developed ensemble for RootMean Squared Error metric is 1.47 better than for the best weak predictor(SVR).

关键词： Healthcare medical insurance prediction task machine learning ensemble data analysis

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Enhancing Solar Energy Production Forecasting Using Advanced Machine Learning and Deep Learning Techniques: A Comprehensive Study on the Impact of Meteorological Data

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Computers, Materials & Continua 2024年第11期81卷 3147-3163页

作者： nataliya Shakhovska Mykola Medykovskyi Oleksandr Gurbych Mykhailo Mamchur Mykhailo Melnyk Instutute of Computer Science and Information Technologies Lviv Polytechnic National UniversityLviv79013Ukraine Department of Applied Mathematics University of Agriculture in KrakowKrakow31-120Poland Blackthorn AI Ltd.LondonEC1V 2NXUK

The increasing adoption of solar photovoltaic systems necessitates accurate forecasting of solar energy production to enhance grid stability,reliability,and economic *** study explores advanced machine learning(ML)and deep learning(DL)techniques for predicting solar energy generation,emphasizing the significant impact of meteorological data.A comprehensive dataset,encompassing detailed weather conditions and solar energy metrics,was collected and preprocessed to improve model *** models were developed and trained with different preprocessing ***,three datasets were prepared.A novel hour-based prediction wrapper was introduced,utilizing external sunrise and sunset data to restrict predictions to daylight hours,thereby enhancing model performance.A cascaded stacking model incorporating association rules,weak predictors,and a modified stacking aggregation procedure was proposed,demonstrating enhanced generalization and reduced prediction *** indicated that models trained on raw data generally performed better than those on stripped *** Long Short-Term Memory(LSTM)with Inception layers’model was the most effective,achieving significant performance improvements through feature selection,data preprocessing,and innovative modeling *** study underscores the potential to combine detailed meteorological data with advanced ML and DL methods to improve the accuracy of solar energy forecasting,thereby optimizing energy management and planning.

关键词： Solar energy prediction machine learning deep learning

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Building 2D quasicrystals from 5-fold symmetric corannulene molecules

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Nano Research 2018年第4期11卷 2129-2138页

作者： nataliya Kalashnyk Julian Ledieu Emilie Gaudry Can Cui An-Pang Tsai Vincent Fournee Institut Jean Lamour UMR 7198 CNRS - Universite de Lorraine Campus ARTEM - 2 allde Andre Guinier F-54000 NANCY France Department of Physics Zhejiang Sci-Tech University Hangzhou 310018 China Institute of Multidisciplinary Research for Advanced Materials (IMRAM) Tohoku University 2-1-1 Katahira Aoba-ku Sendai 980-8577 Japan

The formation of long-range ordered aperiodic molecular films on quasicrystalline substrates is a new challenge that provides an opportunity for further surface functionalization. This aim can be realized through the smart selection of molecular building blocks, based on symmetry-matching between the underlying quasicrystal and individual molecules. It was previously found that the geometric registry between the C60 molecules and the 5- and 10-fold surfaces was key to the growth of quasiperiodic organic layers. However, an attempt to form a quasiperiodic C60 network on i-Ag-In-Yb substrates was unsuccessful, resulting in disordered molecular films. Here we report the growth of 5-fold symmetric corannulene C20H10 molecules on the 5-fold surfaces of i-Ag-In-Yb quasicrystals. Low-energy electron diffraction （LEED） and scanning tunneling microscopy （STM） revealed long-range quasiperiodic order and 5-fold rotational symmetry in self-assembled corannulene films. Recurrent decagonal molecular rings were seen, resulting from the decoration of specific adsorption sites with local pentagonal symmetry by corannulenes, adsorbed with their bowl-openings pointing away from the surface. They were identified as （Ag, In）-containing rhombic triacontahedral （RTH） duster centers and pentagonal Yb motifs, which cannot be occupied simultaneously due to steric hindrance. It is proposed that symmetry-matching between the molecule and specific substrate sites drives this organization. Alteration of the molecular rim by the introduction of CH substituents appeared to increase molecule mobility on the potential energy surface and facilitate trapping at these specific sites. This finding suggests that rational selection of molecular moiety enables the templated self-assembly of molecules leading to an ordered aperiodic corannulene layer.

关键词： quasicrystal,surface science 5-fold symmetry molecular self-assembly,corannulene

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PNN-SVM Approach of Ti-Based Powder’s Properties Evaluation for Biomedical Implants Production

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Computers, Materials & Continua 2022年第6期71卷 5933-5947页

作者： Ivan Izonin Roman Tkachenko Michal Gregus Zoia Duriagina nataliya Shakhovska Lviv Polytechnic National University Lviv79013Ukraine Comenius University in Bratislava Bratislava82005Slovak Republic The John Paul II Catholic University of Lublin Lublin20-708Poland

The advent of additive technologies has provided a significant breakthrough in the production of medical *** has reduced costs,increased productivity and accuracy of the implant manufacturing ***,there are problems associated with assessing defects in the microstructure,mechanical and technological properties of alloys,both during their production by powder metallurgy and in the process of 3D *** traditional research methods of alloys properties demand considerable human,material,and time *** the same time,artificial intelligence tools create opportunities for intelligent evaluation of the conformity for the microstructure,phase composition,and properties of titanium powder’s *** provides new possibilities for the efficient production of biocompatible implants for various functional ***,the accuracy of the methods and models used should be as high as *** this paper we designed a hybrid PNN-SVM(Probabilistic Neural Network-Support Vector Machine)high-precision approach for the intelligent evaluation of alloy properties for additive manufacturing of biomedical *** have proposed a new approach for extending the dimensionality of input data space by the outputs of the summation layer of the modified PNN *** classification based on the expanded dataset is performed using *** conducted experimental modeling of the proposed approach using a data set on the properties of titanium alloys Ti-6Al-4V and *** have demonstrated a significant increase in the accuracy of the PNN-SVM scheme compared to the single classifiers that form it and other machine learning methods.

关键词： PNN SVM hybrid systems classification accuracy medical implants additive manufacturing 3D printing titanium alloys

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Enhanced photodegradation activity of ZnO:Eu3+and ZnO:Eu3+@Au 3D hierarchical structures

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Journal of Rare Earths 2020年第1期38卷 21-28页

作者： nataliya Babayevska Igor Iatsunskyi Patryk Florczak Marcin Jarek Barbara Peplińska Stefan Jurga NanoBioMedical Centre Adam Mickiewicz University

In this work the flower-like hierarchical structures(HS) based on 3 D pristine ZnO,ZnO:Eu^3+ and ZnO:Eu^3+ @Au were successfully obtained by a template-free solvothermal and deposition-precipitation *** decolorization/photodegradation of these structures towards model organic dye(rhodamine 6 G) was *** synthesized ZnO-based HS were characterized by X-ray diffraction(XRD),scanning electron microscopy(SEM),UV-vis and photoluminescence(PL) *** proposed synthesis approaches allow to obtain highly crystalline 3 D ZnO,ZnO:Eu^3+ and ZnO:Eu^3+ @Au *** of scanning microscopy show that ZnO flower-like HS are assemblies from smaller components,forming larger ones,the whole ZnO structure was approximately 3 μ*** nanoparticles(size^10 nm)are successfully deposited on ZnO HS *** studies show that ZnO is an ideal matrix for incorporation of Eu^3+ ions in broad concentration range(Eu^3+=1.0 at%-5.0 at%) with an efficient red *** strong UV emission in ZnO,as well as ZnO;Eu^3+HS is observed under 325 nm *** of ZnO HS matrix by Eu^3+ions leads to the red shift of deep level emission peak(DLE).The PL intensity reaches the maximum up to 5 at% Eu^3+.The photocatalytic properties of ZnO and ZnO:Eu^3+ @Au HS were investigated under UV-Vis light irradiation towards rhodamine 6 *** obtained results demonstrate the synergetic effect of the deposited gold nanoparticles and Eu3^+ doping on photocatalytic activity of ZnO:Eu^3+@Au HS in comparison to pristine ZnO and ZnO:Eu^3+ HS.

关键词： Zinc oxide Hierarchical structures Europium Gold Photocatalysis Rhodamine 6G

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Atypical, severe presentation of chickenpox

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World Journal of Pediatrics 2018年第6期14卷 615-616页

作者： nataliya Banadyha Igor Rogalskyy Roman Komorovsky Department of Pediatrics Institute of Postgraduate EducationI.Horbachevsky Ternopil State Medical UniversityTernopilUkraine Department of Internal Medicine I.Horbachevsky Ternopil State Medical University—Ternopil University Hospitalvul.Klinichna1Ternopil 46002Ukraine

A previously well 5-year-old boy presented with a 4-day his-tory of fever (39.2 °C) and spreading rash. His elder sister was diagnosed with a typical chickenpox two weeks ear-lier. The rash consisting of vesicles initially started on his head and spreaded to his body and limbs. On the third day of this illness, large erythematous maculopapular elements appeared on his left ear and lower legs and progressed into bullae 3–4 cm in diameter. Over the night, large eroded bul-lae were found on his inner thighs (Fig. 1a), body and upper limbs. Enzyme-linked immunosorbent essay performed on day 4 after the rash onset was positive for specific type 3 Varicella Zoster antibodies. Bacteriological examination of the bullae contents was negative. The patient was started on acyclovir. Healing of skin lesions occurred by day 11 of the disease (Fig. 1b). Bullous forms most frequently result from co-infection with S. pyogenes and S. aureus. (1)In the pre-sent case, no evidence of bacterial co-infection was found.

关键词： Atypical severe presentation chickenpox

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Age and geochemical evolution of granite magmatism in Olkhon region from Caledonian syncollisional ore-free granite to the rare metal granite and pegmatite of Middle Paleozoic intraplate setting

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China Geology 2024年第1期7卷 63-79页

作者： Viktor Antipin Valentina Makrygina Larisa Kushch nataliya Sheptyakova Vinogradov Institute of Geochemistry SB RAS664033 IrkutskRussia

The detailed description of two granite complexes in the Olkhon subterrane is *** Early Paleozoic Sharanur complex was formed by granitization of gneisses of the Olkhon *** includes migmatites,granite-gneisses,granites and pegmatites of normal alkalinity;they belong to the type of syncollisional *** Middle Paleozoic Aya granite complex includes mother Aya massif of amazonite-bearing granites and several types of rare-metal *** have elevated alkalinity,low of Ba,Sr,and high LILE and HFSE elements *** Aya pegmatites lie in northwest cracks of stretching and associated with the rise of the territory under the influence of the North Asian *** cracks and pegmatites mark the beginning of a new intraplate geodynamic *** geochemical types are distinguished among the pegmatites of this *** are amazonite pegmatites of Li-F type with Ta mineralization and complex type pegmatite with Be-Rb-Nb-Ta and Li-F mineralization(the Ilixin vein).The Tashkiney pegmatite vein is similar to Ilixin,but lies in the gneisses of the Olkhon *** shows high concentrations of Be,Nb,Ta,as well as W,Sn,but lacks Li and F,due to a greater depth and higher temperature of the melt crystallization of this pegmatite.

关键词： Pegmatite Geochemistry Submantle plume Magmatism Caledonian collision Middle Paleozoic intraplate setting Be-Rb-Nb-Ta-Li-F mineralization Olkhon region Russia

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Unraveling the potential of acute intermittent hypoxia as a strategy for inducing robust repair in multiple sclerosis

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Neural Regeneration Research 2024年第11期19卷 2339-2340页

作者： Valerie M.K.Verge nataliya Tokarska Justin M.Naniong Department of Anatomy Physiology and PharmacologyUniversity of SaskatchewanSaskatoonSKCanada Cameco MS Neuroscience Research Center University of SaskatchewanSaskatoonSKCanada

Multiple sclerosis(MS)is a debilitating inflammatory disease of the central nervous system characterized by immune-mediated segmental demyelination and variable degrees of axonal and neuronal degeneration that contribute to *** efficient and effective repair programs following demyelination is a major goal and challenge in *** MS therapies focus largely on modulating the immune aspects of the disease contributing to *** this alleviates some symptoms and mitigates damage,it does not tackle the fundamental challenge of effective remyelination,which few MS patients experience,especially in the progressive phase of the disease.

关键词： sclerosis degeneration damage

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