A5041363683- Optimization and Search Problems
- COVID-19 Clinical Research Studies
- Auction Theory and Applications
- COVID-19 and healthcare impacts
- Acute Myeloid Leukemia Research
- Game Theory and Applications
- Scheduling and Optimization Algorithms
- COVID-19 and Mental Health
- Advanced Bandit Algorithms Research
- Long-Term Effects of COVID-19
- Retinoids in leukemia and cellular processes
- Acute Lymphoblastic Leukemia research
- Economic and Technological Systems Analysis
- COVID-19 epidemiological studies
- Language and Culture
- Microgrid Control and Optimization
- Statistical Methods and Inference
- Respiratory Support and Mechanisms
- Reliability and Maintenance Optimization
- Engineering Diagnostics and Reliability
- Optimization and Packing Problems
- Optimal Power Flow Distribution
- Thermal Regulation in Medicine
- Power Quality and Harmonics
- Advanced Statistical Process Monitoring
Wrocław University of Science and Technology
2016-2024
AGH University of Krakow
2017-2024
Eindhoven University of Technology
2023-2024
Wroclaw Medical University
2022
Power quality (PQ) becomes a more and pressing issue for the operation stability of power systems with renewable energy sources. An important aspect PQ monitoring distribution networks is to compare indicators in different operating conditions. This paper evaluates impact microgrid implementation real network on at point common coupling an LV network. The study includes classical assessment long-term parameters according EN 50160 standard, such as nominal frequency deviations, voltage RMS...
Background: The COVID-GRAM is a clinical risk rating score for predicting the prognosis of hospitalized COVID-19 infected patients. Aim: Our study aimed to evaluate use in patients with based on data from COronavirus LOwer Silesia (COLOS) registry. Material and methods: group (834 Caucasian patients) was retrospectively divided into three arms according achieved calculated at time hospital admission (between February 2020 July 2021): low, medium, high risk. Omnibus chi-square test, Fisher...
Senility has been identified among the strongest risk predictors for unfavorable COVID-19-outcome. However, even in elderly population, clinical course of infection individual patients remains unpredictable. Hence, there is an urgent need developing a simple tool predicting adverse COVID-19-outcomes. We assumed that C2HEST-score could predict outcomes subjects with COVID-19-subjects.We retrospectively analyzed 1047 medical records at age > 65 years, hospitalized university center due to...
Diabetes mellitus is among the most frequent comorbidities worsening COVID-19 outcome. Nevertheless, there are no data regarding optimal risk stratification of patients with diabetes and COVID-19. Since individual C2HEST components reflect comorbidities, we assumed that score could predict outcomes. A total 2184 medical records hospitalized for at university center were analyzed, including 473 diabetic 1666 without any glucose or metabolic abnormalities. The variables patients' baseline...
Abstract The most important challenges in acute promyelocytic leukemia (APL) is preventing early death and reducing long-term events, such as second neoplasms (s-NPLs). We performed a retrospective analysis of 2670 unselected APL patients, treated with PETHEMA “chemotherapy based” free” protocols. Only de novo patients who achieved complete remission (CR) completed the three consolidation cycles were enrolled into analysis. Out there 118 (4.4%) developed s-NPLs median latency period (between...
In the classical full-information best choice problem a decision maker aims to select opportunity. His is based only on exact values of observed sequence. this paper we consider two modifications above problem. We add second player who can either propose additional information or block object and demand an extortion. Our goal establish optimal reward for moment interrupt process. The situation when number observations tends reach infinity has been studied.
Introduction Mixed-phenotype acute leukemia (MPAL) is a rare disease with poor prognosis. So far, no standard approach has been established as the “know-how” of MPAL based only on retrospective analyses performed small groups patients. Materials and methods In this study, analysis outcomes adult patients included in PALG registry between 2005 2024 who received CLAG-M hybrid protocol induction or salvage therapy was performed. Results Sixteen 98 CLAG-M: eight first-line therapy. first line,...
The aim of this study was to see if the CHA
Background: Since the outbreak of COVID-19 pandemic, a growing number evidence suggests that presents sex-dependent differences in clinical course and outcomes. Nevertheless, there is still an unmet need to stratify risk for poor outcome at beginning hospitalization. individual C2HEST components are similar mortality factors, we evaluated sex-related predictive value score. Material Methods: A total 2183 medical records consecutive patients hospitalized due confirmed SARS-CoV-2 infections...
The classical secretary problem models a situation in which the decision maker can select or reject sequential observation objects numbered by relative ranks. In theoretical studies, it is known that strategy to first 37% of and next best one. However, an empirical result for people do not apply optimal rule. this article, we propose modeling doubts considering modification problem. We assume observe ranks proper way. calculate such value special cases, also combine with no-information...
We consider a sequence of independent random variables with the known distribution observed sequentially. The observation $n$ is assumed to be value one order statistics such as s:n-th, where 1 less than s n. It instances following $n$th it may remain s:m or will r:m (of m> n observations). Changing rank observation, along expanding set observations there phenomenon that difficult predict. From practical reasons great interest. Among others, we pose question moment in which appears and whose...
Abstract This paper treats the decision problem related to theobservation of a Markov process by makers. The informationdelivered players is based on aggregation thehigh‐frequency data some functions. Admissible strategies arestopping moments available information. paymentsare defined state at time stopping. players' stop has various effects which depend decisionmakers' type. type β player's stopping assignsthe with chance β, and it offers thisstate opponent probability . knowledgeabout not...
Abstract In modeling the bilateral selection of states process, Dynkin (Dokl Akad Nauk USSR 185:241–288, 1969) proposed a two-person game in which players use stopping moments as strategies. The purpose this work is to present model have different information about process itself, well various laws stop and accept its state. uses stochastic apparatus, particular, ability create filters for same process. sets based on are not identical, allows us strategies players. We show that follower, by...
Background: Acute promyelocytic leukaemia (APL) has a cure rate greater than 80%, being the most important challenges preventing early death and reducing long-term events, such as second neoplasms (s-NPLs). The reported incidence of s-NPLs in APL is low, with poor outcomes. Data on risk factors (including”chemo-free” strategies) limited. Aims: Incidence, main outcomes for development after achievement first CR patients. Methods: We performed retrospective analysis 2670 unselected patients,...
Even though coronary artery disease (CAD) is considered an independent risk factor of unfavorable outcome SARS-CoV-2-infection, the clinical course COVID-19 in subjects with CAD heterogeneous, ranging from clinically asymptomatic to fatal cases. Since individual C2HEST components are similar factors, we evaluated its predictive value subjects.In total, 2183 patients hospitalized due confirmed were enrolled onto this study consecutively. Based on past medical history, assigned one two arms...