University of Information Technology and Management in Rzeszow

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University of Information Technology and Management in Rzeszow
Short name
UITM
Country, city
Poland, Rzeszów
Publications
1 133
Citations
12 006
h-index
46
Top-3 journals
Molecules
Molecules (43 publications)
Studia Humana
Studia Humana (38 publications)
Top-3 organizations
Medical University of Lublin
Medical University of Lublin (87 publications)
AGH University of Krakow
AGH University of Krakow (32 publications)
Jagiellonian University
Jagiellonian University (30 publications)
Top-3 foreign organizations
Auburn University
Auburn University (21 publications)
Ohio University
Ohio University (21 publications)
Yale University
Yale University (20 publications)

Most cited in 5 years

Przybyła G.W., Szychowski K.A., Gmiński J.
2020-09-04 citations by CoLab: 95 Abstract  
Paracetamol (acetaminophen) is the most commonly used over-the-counter (OTC) drug in the world. Despite its popularity and use for many years, the safety of its application and its mechanism of action are still unclear. Currently, it is believed that paracetamol is a multidirectional drug and at least several metabolic pathways are involved in its analgesic and antipyretic action. The mechanism of paracetamol action consists in inhibition of cyclooxygenases (COX-1, COX-2, and COX-3) and involvement in the endocannabinoid system and serotonergic pathways. Additionally, paracetamol influences transient receptor potential (TRP) channels and voltage-gated Kv7 potassium channels and inhibits T-type Cav3.2 calcium channels. It also exerts an impact on L-arginine in the nitric oxide (NO) synthesis pathway. However, not all of these effects have been clearly confirmed. Therefore, the aim of our paper was to summarize the current state of knowledge of the mechanism of paracetamol action with special attention to its safety concerns.
Zagórska-Dziok M., Sobczak M.
Pharmaceutics scimago Q1 wos Q1 Open Access
2020-04-26 citations by CoLab: 87 PDF Abstract  
Hydrogels are playing an increasingly important role in medicine and pharmacy. Due to their favorable physicochemical properties, biocompatibility, and designed interaction with living surroundings, they seem to be one of the most promising groups of biomaterials. Hydrogel formulations from natural, semi, or synthetic polymeric materials have gained great attention in recent years for treating various dermatology maladies and for cosmetology procedures. The purpose of this review is to present a brief review on the basic concept of hydrogels, synthesis methods, relevant mechanisms, and applications in dermatology or cosmetology. This review discusses transdermal therapies and the recent advances that have occurred in the field.
Copeland H., Knezevic I., Baran D.A., Rao V., Pham M., Gustafsson F., Pinney S., Lima B., Masetti M., Ciarka A., Rajagopalan N., Torres A., Hsich E., Patel J.K., Goldraich L.A., et. al.
2023-01-01 citations by CoLab: 65 Abstract  
The proposed donor heart selection guidelines provide evidence-based and expert-consensus recommendations for the selection of donor hearts following brain death. These recommendations were compiled by an international panel of experts based on an extensive literature review. The proposed donor heart selection guidelines provide evidence-based and expert-consensus recommendations for the selection of donor hearts following brain death. These recommendations were compiled by an international panel of experts based on an extensive literature review. In 1995, Dr J. Copeland noted that “only optimal donors should be accepted for heart transplantation,” implying that extended-criteria donor organs may not be viable.1Copeland JG. Only optimal donors should be accepted for heart transplantation: protagonist.J Heart Lung Transplant. 1995; 14: 1038-1042PubMed Google Scholar Despite this awareness raised from over 25 years ago, this topic has remained much debated. While older donors are more routinely used in Europe, younger donors with short ischemic times are more commonly used in the United States. Mortality rates differ worldwide, and some of these differences are due to donor selection and/or recipient urgency. Seeking a balance between maximizing the number of transplants (by taking greater risk) and minimizing the risk to meet societal needs, while controlling cost, is difficult and frequently related to a lack of reliable data regarding both donors and recipients. The issue is further complicated by the fact that the peri-operative surgical risk is a combination of risk factors that include donor, recipient, and ischemic time. Lastly, meaningful comparisons of transplant outcomes across countries require proper risk-adjustment. The proposed guidelines provide evidence-based as well as expert-consensus recommendations for the selection of donors following brain death. These recommendations were compiled by an international panel of experts based on an extensive literature review. Controversial subjects are dealt with one by one and current state-of-the-art information is provided to help define risk. The strength of each recommendation and the corresponding level of available evidence were classified following the International Society for Heart and Lung Transplantation protocol for developing guideline documents.2International Society for Heart Lung Transplantation. Protocol and policies for developing standards statements, guidelines, and consensus documents and for conducting consensus conferences. 2017; https://ishlt.org/ishlt/media/documents/STANDARDS_AND_GUIDELINES_DEVELOPMENT_PROTOCOL_FINAL.pdfGoogle Scholar Task forces were established with an international panel of experts. The task forces reviewed donor characteristics (Task force 1), international donor practices (Task force 2), donor and recipient matched characteristics (Task force 3), extended donor characteristics (Task force 4), and donor risk scores (Task force 5). Factors considered in the clinical stability of the cardiac donor are hemodynamics, hormonal resuscitation,3Dhar R Cotton C Coleman J et al.Comparison of high- and low-dose corticosteroid regimens for organ donor management.J Crit Care. 2013; 28 (111.e111-117)Crossref PubMed Scopus (39) Google Scholar, 4Dupuis S Amiel JA Desgroseilliers M et al.Corticosteroids in the management of brain-dead potential organ donors: a systematic review.Br J Anaesth. 2014; 113: 346-359Abstract Full Text Full Text PDF PubMed Scopus (44) Google Scholar, 5Pinsard M Ragot S Mertes PM et al.Interest of low-dose hydrocortisone therapy during brain-dead organ donor resuscitation: the CORTICOME study.Crit Care. 2014; 18: R158Crossref PubMed Scopus (40) Google Scholar, 6Buchanan IA Mehta VA. Thyroid hormone resuscitation after brain death in potential organ donors: a primer for neurocritical care providers and narrative review of the literature.Clin Neurol Neurosurg. 2018; 165: 96-102Crossref PubMed Scopus (9) Google Scholar, 7Cooper LB Milano CA Williams M et al.Thyroid hormone use during cardiac transplant organ procurement.Clin Transplant. 2016; 30: 1578-1583Crossref PubMed Scopus (17) Google Scholar, 8Holndonner-Kirst E Nagy A Czobor NR et al.The impact of l-thyroxine treatment of donors and recipients on postoperative outcomes after heart transplantation.J Cardiothorac Vasc Anesth. 2019; 33: 1629-1635Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar, 9Mi Z Novitzky D Collins JF Cooper DK. The optimal hormonal replacement modality selection for multiple organ procurement from brain-dead organ donors.Clin Epidemiol. 2015; 7: 17-27PubMed Google Scholar, 10Novitzky D Mi Z Sun Q Collins JF Cooper DK Thyroid hormone therapy in the management of 63,593 brain-dead organ donors: a retrospective analysis.Transplantation. 2014; 98: 1119-1127Crossref PubMed Google Scholar, 11Roels L Spaight C Smits J Cohen B. Critical care staffs' attitudes, confidence levels and educational needs correlate with countries' donation rates: data from the donor action database.Transpl Int. 2010; 23: 842-850Crossref PubMed Scopus (0) Google Scholar and the restoration of intravascular volume and electrolyte imbalance,12Al-Khafaji A Elder M Lebovitz DJ et al.Protocolized fluid therapy in brain-dead donors: the multicenter randomized MOnIToR trial.Intensive Care Med. 2015; 41: 418-426Crossref PubMed Scopus (44) Google Scholar, 13Barklin A. Systemic inflammation in the brain-dead organ donor.Acta Anaesthesiol Scand. 2009; 53: 425-435Crossref PubMed Scopus (129) Google Scholar, 14Kuecuek O Mantouvalou L Klemz R et al.Significant reduction of proinflammatory cytokines by treatment of the brain-dead donor.Transplant Proc. 2005; 37: 387-388Crossref PubMed Scopus (64) Google Scholar, 15McKeown DW Ball J. Treating the donor.Curr Opin Organ Transplant. 2014; 19: 85-91Crossref PubMed Scopus (14) Google Scholar, 16Abdelnour T Rieke S. Relationship of hormonal resuscitation therapy and central venous pressure on increasing organs for transplant.J Heart Lung Transplant. 2009; 28: 480-485Abstract Full Text Full Text PDF PubMed Scopus (51) Google Scholar, 17Dimopoulou I Tsagarakis S Anthi A et al.High prevalence of decreased cortisol reserve in brain-dead potential organ donors.Crit Care Med. 2003; 31: 1113-1117Crossref PubMed Scopus (76) Google Scholar, 18Plurad DS Bricker S Neville A Bongard F Putnam B. Arginine vasopressin significantly increases the rate of successful organ procurement in potential donors.Am J Surg. 2012; 204 (discussion 860-851): 856-860Abstract Full Text Full Text PDF PubMed Scopus (48) Google Scholar, 19Hadjizacharia P Salim A Brown C et al.Does the use of pulmonary artery catheters increase the number of organs available for transplantation?.Clin Transplant. 2010; 24: 62-66Crossref PubMed Scopus (0) Google Scholar, 20Novitzky D Mi Z Videla LA Collins JF Cooper DK. Hormone resuscitation therapy for brain-dead donors - is insulin beneficial or detrimental?.Clin Transplant. 2016; 30: 754-759Crossref PubMed Scopus (0) Google Scholar, 21Stoica SC Satchithananda DK Charman S et al.Swan-Ganz catheter assessment of donor hearts: outcome of organs with borderline hemodynamics.J Heart Lung Transplant. 2002; 21: 615-622Abstract Full Text Full Text PDF PubMed Scopus (0) Google Scholar, 22Saner FH Kavuk I Lang H Radtke A Paul A Broelsch CE. Organ protective management of the brain-dead donor.Eur J Med Res. 2004; 9: 485-490PubMed Google Scholar as well as donor metabolism. 1.Donors receiving low dose norepinephrine (e.g., ≤0.1 µg/kg/min) may be considered suitable for transplantation if (other) inotropes are not required. In general, the higher the dose of norepinephrine in the donor, the poorer the expected outcome after transplant. Level of Evidence: C. 1.If inotropes and/or vasopressors are required to maintain adequate circulatory function in the donor, placement of a Swan-Ganz catheter and goal-directed therapy should be considered to maximize the likelihood of donor heart utilization. Level of Evidence: C.2.Suggested hemodynamic targets for donor hearts include the following:•Mean arterial pressure >60 mm Hg•Cardiac index >2.4 liter/min/m2•Central venous pressure
Skóra B., Krajewska U., Nowak A., Dziedzic A., Barylyak A., Kus-Liśkiewicz M.
Scientific Reports scimago Q1 wos Q1 Open Access
2021-06-29 citations by CoLab: 62 PDF Abstract  
Drug-resistance of bacteria is an ongoing problem in hospital treatment. The main mechanism of bacterial virulency in human infections is based on their adhesion ability and biofilm formation. Many approaches have been invented to overcome this problem, i.e. treatment with antibacterial biomolecules, which have some limitations e.g. enzymatic degradation and short shelf stability. Silver nanoparticles (AgNPs) may be alternative to these strategies due to their unique and high antibacterial properties. Herein, we report on yeast Saccharomyces cerevisiae extracellular-based synthesis of AgNPs. Transmission electron microscopy (TEM) revealed the morphology and structure of the metallic nanoparticles, which showed a uniform distribution and good colloid stability, measured by hydrodynamic light scattering (DLS). The energy dispersive X-ray spectroscopy (EDS) of NPs confirms the presence of silver and showed that sulfur-rich compounds act as a capping agent being adsorbed on the surface of AgNPs. Antimicrobial tests showed that AgNPs inhibit the bacteria growth, while have no impact on fungi growth. Moreover, tested NPs was characterized by high inhibitory potential of bacteria biofilm formation but also eradication of established biofilms. The cytotoxic effect of the NPs on four mammalian normal and cancer cell lines was tested through the metabolic activity, cell viability and wound-healing assays. Last, but not least, ability to deep penetration of the silver colloid to the root canal was imaged by scanning electron microscopy (SEM) to show its potential as the material for root-end filling.
Mishchenko M., Shtrygol S., Kaminskyy D., Lesyk R.
Scientia Pharmaceutica scimago Q2 wos Q3 Open Access
2020-03-24 citations by CoLab: 61 PDF Abstract  
Here, we describe the synthesis and anticonvulsant activity of thiazole-bearing hybrids based on 2-imino-4-thiazolidinone and 2,4-dioxothiazolidine-5-carboxylic acid cores. The structure of target compounds was based on the following: (i) A combination of two thiazole cores; (ii) similarity to ralitolin’s structure; (iii) the compliance with structural requirements for the new anticonvulsants. Target compounds were synthesized via known approaches based on Knoenavegel reaction, alkylation reaction, and one-pot three-component reaction. Anticonvulsant properties of compounds were evaluated in two different models—pentylenetetrazole-induced seizures and maximal electroshock seizure tests. Among the tested compounds 5Z-(3-nitrobenzylidene)-2-(thiazol-2-ylimino)-thiazolidin-4-one Ib, 2-[2,4-dioxo-5-(thiazol-2- ylcarbamoylmethyl)-thiazolidin-3-yl]-N-(2-trifluoromethylphenyl)acetamide IId and (2,4-dioxo-5- (thiazol-2-ylcarbamoylmethylene)-thiazolidin-3-yl)acetic acid ethyl ester IIj showed excellent anticonvulsant activity in both models. The directions of compounds modification based on SAR aspects were discussed. The results of the study provide a basis for further study of the anticonvulsant properties of selected thiazole-thiazolidinones.
Szychowski K.A., Skóra B., Pomianek T., Gmiński J.
2021-07-01 citations by CoLab: 58 Abstract  
The Inonotus obliquus ( I. obliquus ) mushroom was traditionally used to treat various gastrointestinal diseases. For many years, mounting evidence has indicated the potential of I. obliquus extracts for treatment of viral and parasitic infections. Furthermore, substances from I. obiquus have been shown to stimulate the immune system. The most promising finding was the demonstration that I. obliquus has hypoglycemic and insulin sensitivity potential. This review summarizes the therapeutic potential of I. obliquus extracts in counteracting the progression of cancers and diabetes mellitus as well as their antiviral and antiparasitic activities and antioxidant role. As shown by literature data, various authors have tried to determine the molecular mechanism of action of I. obliquus extracts. Two mechanisms of action of I. obliquus extracts are currently emerging. The first is associated with the broad-sense impact on antioxidant enzymes and the level of reactive oxygen species (ROS). The other is related to peroxisome proliferator-activated receptor gamma (PPARγ) effects. This receptor may be a key factor in the anti-inflammatory, antioxidant, and anti-cancer activity of I. obliquus extracts. It can be concluded that I. obliquus fits the definition of functional food and has a potentially positive effect on health beyond basic nutrition; however, studies that meet the evidence-based medicine (EBM) criteria are needed. • Extracts or polysaccharides from I. obliquus exhibit an anti-cancer potential in vitro . • Extracts or polysaccharides from I. obliquus exhibit anti-inflammation potential. • Extracts or polysaccharides from I. obliquus exhibit hypoglycemic and insulin sensitivity potential.
Wang L., Mao S., Wilamowski B.M., Nelms R.M.
2020-06-01 citations by CoLab: 57 Abstract  
In this paper, an ensemble learning approach is proposed for load forecasting in urban power systems. The proposed framework consists of two levels of learners that integrate clustering, Long Short-Term Memory (LSTM), and a Fully Connected Cascade (FCC) neural network. Historical load data is first partitioned by a clustering algorithm to train multiple LSTM models in the level-one learner, and then the FCC model in the second level is used to fuse the multiple level-one models. A modified Levenberg-Marquardt (LM) algorithm is used to train the FCC model for fast and stable convergence. The proposed framework is tested with two public datasets for short-term and mid-term forecasting at the system, zone and client levels. The evaluation using real-world datasets demonstrates the superior performance of the proposed model over several state-of-the-art schemes. For the ISO-NE Dataset for Years 2010 and 2011, an average reduction in mean absolute percentage error (MAPE) of 10.17% and 11.67% are achieved over the four baseline schemes, respectively.
Osieczko K., Zimon D., Płaczek E., Prokopiuk I.
2021-10-01 citations by CoLab: 56 Abstract  
As one of the possibilities of reducing exhaust emissions, the article takes into account infrastructure and electric vehicles used in road transport. Taking into account the goal to achieve a 30% share of vehicle electric, the number of charging stations available in the entire European Union is not sufficient. There has been a slight increase in sales of electric vans and trucks in the EU in recent years. This may be due to the lack of available infrastructure which would render it possible to power them, and also from the lack of available delivery vehicles in the market. What is interesting, the number of electric vehicles in a country is not necessarily in proportion to the number of available charging stations. It is the authors' intention as well to indicate the potential directions of the development of a low-emission cargo transport in the European Union. Upon the basis of the results, it is ascertained that there is a strong correlation between the value of a country's GDP and the number of electric vehicle charging stations. A moderate correlation is also observed in the case of a country's population, as well as in the case of the market share of registered electric delivery vehicles in a country.
Ziemlewska A., Zagórska-Dziok M., Nizioł-Łukaszewska Z.
Scientific Reports scimago Q1 wos Q1 Open Access
2021-02-05 citations by CoLab: 54 PDF Abstract  
Vaccinum myrtillus L., Ribes nigrum L., Rubus fruticosus L., Fragaria vesca L. leaves are considered an agro-waste of the berry industry. Although numerous studies indicate fruit is a rich source of bioactive compounds, the authors prove leaves can also be a valuable source of compounds used in the pharmaceutical and cosmetic industries. The study attempts to assess and compare the antioxidant and cytotoxic properties of berry leaves extracts. The total phenolic compounds, flavonoids, anthocyanins and procyanidins content were determined. Antioxidant potential was evaluated using the DPPH radical scavenging method. Cytotoxicity studies were conducted to evaluate the effect of the extracts on the metabolism and proliferation of keratinocytes and fibroblasts in vitro. The effect on the migration capacity of these cells was also assessed. The obtained results show that the examined extracts are a source of valuable bioactive agents. All tested extracts show significant ability to remove free radicals in higher concentrations. Cytotoxicity assessments have shown that leaf extracts of the analyzed plants differ in cytotoxicity, both for keratinocytes and fibroblasts. The results of the assessment of cell migration capacity correlate with cytotoxicity tests, because the concentration of extracts showing cytotoxic activity towards the tested cells also inhibited their migration.
Buzun K., Gornowicz A., Lesyk R., Bielawski K., Bielawska A.
2021-05-28 citations by CoLab: 50 PDF Abstract  
Autophagy is a process of self-degradation that plays an important role in removing damaged proteins, organelles or cellular fragments from the cell. Under stressful conditions such as hypoxia, nutrient deficiency or chemotherapy, this process can also become the strategy for cell survival. Autophagy can be nonselective or selective in removing specific organelles, ribosomes, and protein aggregates, although the complete mechanisms that regulate aspects of selective autophagy are not fully understood. This review summarizes the most recent research into understanding the different types and mechanisms of autophagy. The relationship between apoptosis and autophagy on the level of molecular regulation of the expression of selected proteins such as p53, Bcl-2/Beclin 1, p62, Atg proteins, and caspases was discussed. Intensive studies have revealed a whole range of novel compounds with an anticancer activity that inhibit or activate regulatory pathways involved in autophagy. We focused on the presentation of compounds strongly affecting the autophagy process, with particular emphasis on those that are undergoing clinical and preclinical cancer research. Moreover, the target points, adverse effects and therapeutic schemes of autophagy inhibitors and activators are presented.
Rys M.
Industry and Higher Education scimago Q2 wos Q2
2025-02-24 citations by CoLab: 0 Abstract  
This study explores the unique role of hackathons in bridging the gap between academia and industry, through ethnographic study approach methods, in-depth analysis of 12 hackathons and over 50 interviews. Findings suggest 15 key features that create a favorable environment for such collaboration. The environment, shaped by a mix of these features, enables participants from diverse backgrounds to work together on specific challenges, fostering interdisciplinary cooperation that might not be possible in traditional settings. Moreover, while hackathons may present formidable challenges, particularly in aligning the differing objectives of academia and industry, they also offer unique benefits and opportunities for establishing long-term, productive collaborations. The insights gained from this study provide a foundation for implementing similar collaborative mechanisms and methods in other contexts, enhancing the effectiveness of industry-academia partnerships and contributing to the advancement of both academic and business-oriented goals.
Nizioł-Łukaszewska Z., Ziemlewska A., Zagórska-Dziok M., Mokrzyńska A., Wójciak M., Sowa I.
Molecules scimago Q1 wos Q2 Open Access
2025-02-20 citations by CoLab: 0 PDF Abstract  
This article attempts to comprehensively assess plants from the Apiaceae family, such as Apium graveolens, Daucus carota or Petroselinum crispum, as raw plant materials with potential uses in cosmetic products with anti-inflammatory and antibacterial effects. The work compares the phytochemical profiles and activity of extracts and ferments from the roots of these plants obtained during fermentation using kombucha. The antioxidant properties of the tested extracts, the effect on the intracellular level of free radicals and their cytotoxicity towards skin cells were compared. Their anti-inflammatory and antibacterial properties were also assessed. The ABTS and DPPH tests indicated the highest antioxidant potential of the carrot ferments, achieving a 55.75% and 74.6% reduction of these radicals, respectively. The resazurin and Neutral Red assays indicated that in most cases, sample concentrations not exceeding 2.5% did not cause a cytotoxic effect, and in the case of a 20-day parsley ferment, they could increase viability by over 40%. The disk diffusion method indicated growth inhibition zones of over 20 mm for some bacteria. The minimum inhibitory concentrations for seven different bacterial strains ranged from 200 to 400 µg/mL. Anti-inflammatory properties were determined using the ELISA method, assessing the level of interleukins 1β, 6 and 10. The obtained results indicate a higher amount of phytochemicals, a lack of cytotoxic effect at lower concentrations of the tested samples and significantly stronger antioxidant, antibacterial and anti-inflammatory properties of the ferments compared to the extracts. This effect depends on the concentration and fermentation time used.
Gil D., Pękala B.
2025-02-12 citations by CoLab: 0 Abstract  
Rule-based approximate reasoning systems are an important decision-making tool in many application problems. The use of expert knowledge or machine learning techniques to create rules does not exhaust the problems of representing data and decision dependencies, therefore we propose a hybrid/mixed technique for creating a set of rules while effectively modeling uncertainty through interval-valued fuzzy representation in the problem of detecting falls of elderly people. The obtained prediction confirms the correctness of the choice of diagnostic methodology.
Szkoa J., Pkala B., Dyczkowski K.
2025-02-12 citations by CoLab: 0 Abstract  
The article addresses the ubiquitous challenge of uncertainty in decision-making, with a particular focus on medical decision-making, through the innovative application of logistic regression enhanced by interval-valued fuzzy set theory. Traditional logistic regression relies on a linear combination of variables and a uniform set of regression coefficients, which can inaccurately represent the variability and uncertainty inherent in real-world data. Our proposed methodology differs in that it incorporates weights with interval values into the logistic regression model, allowing for a more nuanced and flexible representation of the data. This approach allows the model to adjust the weights independently in terms of values, offering a fit to interval data and improving the precision of predictions. By developing a specialized algorithm to calculate weighted coefficients adjusted to specific inputs or attributes, we demonstrate the practical effectiveness of our method in dealing with uncertainty. Experimental results highlight the potential of interval-valued fuzzy sets in improving machine learning techniques and enhancing the accuracy of decision-making models in complex, uncertain environments.
Pękala B., Kosior D., Rząsa W., Garwol K., Czuma J.
Entropy scimago Q2 wos Q2 Open Access
2025-02-03 citations by CoLab: 0 PDF Abstract  
The research described in this paper focuses on key aspects of learning from data concerning the symptoms of depression and how to prevent it. The computer support system designed for that purpose combines data privacy protection from various sources and uncertainty modeling, especially for incomplete data. The mentioned aspects are key to real-life medical diagnostic problems. From among the different paradigms of machine learning, a federated learning-based approach was chosen as the most suitable to take up the challenge. Importantly, computer support in medical diagnostics often requires algorithms that are appropriate for processing data expressing uncertainty and that can ensure high-quality diagnostics. To achieve this goal, a novel decision-making algorithm is used that employs interval entropy measures based on the theory of interval-valued fuzzy sets. Such an approach enables one to take into account diagnostic uncertainty, express it exactly, and interpret it easily. Furthermore, the applied classification technique offers the possibility of a straightforward explanation of the diagnosis, which is a situation required by many physicians. The presented solution combines innovative technological approaches with practical user needs, fostering the development of more effective tools in mental health prevention.
Ryś M., Górska A.M.
Computer scimago Q1 wos Q3
2025-02-01 citations by CoLab: 0
Schumann A., Pancerz K.
2025-01-30 citations by CoLab: 0 Abstract  
Mould or fungal propagation can serve as a universal model for a massive-parallel game of many players, moving concurrently. Based on this model, a game of politicians is introduced to occupy as many political keywords as possible in the media. If a politician begins to be mentioned every time with some word or group of words, then this means that he or she has occupied this word or group of words. In the election campaign, the winner is the politician who has occupied the most words. The study was carried out on the example of Polish politicians. In addition, a space for keywords related to mentions in the messages of 780 politicians of the Sejm and Senate of the last two terms of office was created. Thus, the reflection game of politicians for keywords was implemented. In this game, you can explain the role of politicians in their activities for their party or for themselves. The period of the game is for three years. This game shows the dynamics of political discourse in Poland during this period. In different media, this game is realized in different ways. For example, party-related keywords in the media correlate differently with party program texts. This means that journalists from various portals influence this game of politicians. Data modeling as a game of politicians for keywords makes it possible to identify hidden players and their degree of reflexivity.
Saeidnia H.R., Firuzpour F., Kozak M., majd H.S.
Artificial Intelligence Review scimago Q1 wos Q1
2025-01-25 citations by CoLab: 0 Abstract  
Cancer screening and diagnosis with the utilization of innovative Artificial Intelligence tools improved the treatment strategies and patients’ survival. With the rapid development of imaging technologies and the rise of artificial intelligence (AI), there is a significant opportunity to improve cancer diagnostics through the combination of image analysis and AI algorithms. This article provides a comprehensive review of studies that have investigated the application of AI-assisted image processing in cancer diagnosis. We searched the Web of Science and Scopus databases to identify relevant studies published between 2014 and January 2024. The search strategy utilized targeted keywords such as cancer diagnostics, image analysis, artificial intelligence, and advanced imaging techniques. We limited the review to articles written in English and using AI-assisted image processing in cancer diagnosis. The results show that by leveraging machine learning algorithms, including deep learning, computer-aided diagnosis systems have been developed that are efficient in detecting tumors, thereby facilitating early cancer detection. Additionally, various authors have explored the integration of personalized treatment approaches and precision medicine, allowing for the development of treatment plans tailored to individual patient characteristics and needs. The review emphasizes the potential of AI-assisted image processing in revolutionizing cancer diagnostics. The insights gained from this study contribute to the current understanding of the field and pave the way for future research and development aimed at advancing cancer diagnostics using image analysis and artificial intelligence.
Schumann A.
2025-01-24 citations by CoLab: 0 Abstract  
At the end of the nineteenth century, Leo Tolstoy and Vladimir Solovyov presented two diametrically opposed modes of thinking and reasoning. The question of which of these two figures emerged as the greatest thinker of the time remains an existential one, with significant ontological, epistemological, and metaphysical implications. This opposition is evident in their differing attitudes towards key topics such as political reality, violence, and morality. While Tolstoy’s philosophical contributions are often underestimated and Solovyov is generally regarded as the “winner” of this intellectual rivalry, this paper seeks to reevaluate Tolstoy’s legacy and his role as a philosopher in the latter half of the nineteenth century.
Binduga U.E., Kopeć A., Skoczylas J., Szychowski K.A.
2025-01-04 citations by CoLab: 0 PDF Abstract  
Garlic (Allium sativum L.) is one of the oldest known useful plants, valued for thousands of years. This plant contains many biologically active compounds, including polyphenols, sterols, cysteine-sulfoxides, carbohydrates, proteins, and amino acids. The aim of our study was to compare the antioxidant potential, cytotoxicity, and apoptosis induction properties of four garlic cultivars—Harnaś, Ornak, Violeta, and Morado—in human squamous carcinoma (SCC-15) cells, colon adenocarcinoma (CACO-2) cells, and normal fibroblasts (BJ). Additionally, we investigated the mRNA and protein expression of peroxisome proliferator-activated receptor gamma (PPARγ), microtubule-associated protein 1 light chain 3 (LC3A), superoxide dismutase 1 (SOD1), and catalase (CAT) after treatment with the studied garlic extracts. Our study demonstrated that high ROS production was correlated with the strong toxicity of the garlic extracts. All studied extracts produced a lesser increase in ROS in normal BJ fibroblasts and were less toxic to these cells. The expression patterns of PPARγ, LC3A, SOD1, and CAT, along with chromatographic analysis, suggest differing mechanisms among the garlic cultivars. The highest levels of catechin, a known PPARγ agonist, were detected in the Harnaś (3.892 µg/mL) and Ornak (3.189 µg/mL) cultivars. A high catechin content was correlated with similar changes in PPARγ and related SOD1 and LC3A. Our findings showed the health-promoting and anticancer properties of garlic. However, we could not definitively identify which polyphenol or how it is involved in PPARγ activation. Further studies are required to elucidate the role of PPARγ in the mechanism of action of garlic extracts.
Kozak M., Jupowicz‐Kozak J.
Annals of Applied Biology scimago Q1 wos Q2
2024-12-29 citations by CoLab: 1 Abstract  
AbstractFor some time, environmental researchers and activists have been trying to convince the world that there is an urgent need to change the dietary habits of the modern human population. Their reasoning is based on several issues, with two main pillars supporting the whole concept. One involves mitigating global hunger, and the other addresses the impact that today's agricultural production has on the environment, particularly due to extensive and intensive agricultural practices, especially in developing countries and regions that help feed their populations. Perhaps the most promising proposal—and, as bibliometric analysis shows, more and more popular in the scientific community—is to replace animal protein with insect protein. It would allow for shifting agricultural production from animal‐based to insect‐based. In order to address this concept, the research community has been deeply involved in studying edible insects over the last decade. In doing so, researchers have examined nutritional value, sustainable production and environmental impact, consumer acceptance, and the challenges and opportunities from various perspectives. One might think that with such deep knowledge, the agricultural industry is well‐equipped to initiate this shift. In this article, we argue that this statement is far from true. It appears that the scientific literature on edible insects fails to address what is likely the most important aspect for producers: farming techniques and practices, along with related topics such as feeding, protection from diseases, pathogens, and pests, rearing conditions, breeding, and many other factors. The critical need to improve the sustainability of global agricultural production and reduce its environmental impact calls for rapid changes, so the agricultural research community should stop waiting for others to decide whether edible insects are the way to go. Instead of waiting, they should focus on addressing the most critical aspects of insect farming. The industry is, in fact, ahead of science, as insect farms are spreading across the world. However, for them to succeed, strong support from agricultural science is urgently needed.
Okoń E., Kukula-Koch W., Jarząb A., Gaweł-Bęben K., Bator E., Michalak-Tomczyk M., Jachuła J., Antosiewicz-Klimczak B., Odrzywolski A., Koch W., Wawruszak A.
Molecules scimago Q1 wos Q2 Open Access
2024-12-19 citations by CoLab: 0 PDF Abstract  
Primary and metastatic tumors of the nervous system represent a diverse group of neoplasms, each characterized by distinct biological features, prognostic outcomes, and therapeutic approaches. Due to their molecular complexity and heterogeneity, nervous system cancers (NSCs) pose significant clinical challenges. For decades, plants and their natural products with established anticancer properties have played a pivotal role in the treatment of various medical conditions, including cancers. Anthraquinone derivatives, a class of tricyclic secondary metabolites, are found in several botanical families, such as Fabaceae, Polygonaceae, Rhamnaceae, and Rubiaceae. In a comprehensive review, recent advancements in the anticancer properties of 1,8-dihydroanthraquinone derivatives—such as emodin, aloe-emodin, hypericin, chrysophanol, rhein, and physcion—were analyzed. These compounds have been studied extensively, both used individually and in combination with other chemotherapeutic agents, using in vitro and in vivo models of nervous system tumors. It was demonstrated that 1,8-dihydroanthraquinone derivatives induce apoptosis and necrosis in cancerous cells, intercalate into DNA, disrupting transcription and replication in rapidly dividing cells, and alter ROS levels, leading to oxidative stress that damages tumor cells. Additionally, they can influence signaling pathways involved in oncogenesis, such as MAPK, PI3K/Akt, or others crucial for the survival and the proliferation of NSC cells. The exploration of 1,8-dihydroanthraquinone derivatives aims to develop novel therapies that could overcome resistance and improve cancer patients’ outcomes.
Rys M., Ślusarek A., Zieliński K.
2024-12-10 citations by CoLab: 1 Abstract  
ABSTRACTThis study delves into social engineering vulnerabilities among cybersecurity experts, using an experimental approach. The motivation is to challenge the assumption that cybersecurity professionals are immune to social engineering attacks by examining their susceptibility to emerging threats like quishing, identifying gaps in current practices and training programs, and raising awareness about the risks posed to the general public. Two scenarios involving QR codes offering free training sessions and promotional hoodie giveaways were set up at and despite ethical considerations, the experiment yielded enlightening results: around 19% of participants interacted with the QR codes, questioning the perceived invulnerability of cybersecurity experts to such tactics. These results question the feasibility of traditional educational approaches in fully mitigating such risks, highlighting the need for updated and effective training, innovative strategies, and automated defenses to better protect both professionals and the general public from evolving social engineering threats.
Karaubayeva A.A., Bekezhanova T., Zhaparkulova K., Susniak K., Sobczynski J., Kazimierczak P., Przekora A., Skalicka-Wozniak K., Kulinowski Ł., Glowniak-Lipa A., Sakipova Z.B., Korona-Głowniak I.
2024-12-08 citations by CoLab: 0 PDF Abstract  
Kaolinite stands out as a promising natural geomaterial for developing new therapeutic systems aimed at addressing global health challenges, such as multidrug-resistant infections. In this study, we report on the formulation and biological activity of a therapeutic mixture composed of white micronized kaolinite (KAO) and Ziziphora essential oil (ZEO), intended for topical application on infected wounds. GC–MS analysis revealed that the primary component of ZEO is pulegone, constituting 72.98% of the oil. ZEO demonstrated good bioactivity against bacterial and fungal strains (MIC 1.25–5 mg/mL). Additionally, ZEO at a concentration of 0.0156% (0.156 mg/mL) was found to significantly stimulate collagen synthesis. The antimicrobial activity of the tested KAO–ZEO mixture formulation (30% KAO/0.25% ZEO in an excipient base) showed the highest effectiveness against Candida spp. (MIC 0.08–25 mg/mL) and Gram-positive bacteria (MIC 0.16–25 mg/mL), with lower activity against Gram-negative bacteria (MIC 25–50 mg/mL). Moreover, the KAO–ZEO mixture was nontoxic (cell viability near 100%) to human skin fibroblasts according to the ISO 10993-5 standard and promoted collagen synthesis by skin cells. This is the first documented formulation combining KAO and ZEO, demonstrating significant antimicrobial properties along with the ability to stimulate collagen production in fibroblasts. These properties highlight KAO–ZEO as a promising novel treatment, which may synergize with current care standards and improve wound healing outcomes.
Pękala B., Szkoła J., Grochowalski P., Gil D., Kosior D., Dyczkowski K.
2024-12-08 citations by CoLab: 1 PDF Abstract  
Abstract This study introduces an innovative interval-valued fuzzy inference system (IFIS) integrated with federated learning (FL) to enhance posture detection, with a particular emphasis on fall detection for the elderly. Our methodology significantly advances the accuracy of fall detection systems by addressing key challenges in existing technologies, such as false alarms and data privacy concerns. Through the implementation of FL, our model evolves collaboratively over time while maintaining the confidentiality of individual data, thereby safeguarding user privacy. The application of interval-valued fuzzy sets to manage uncertainty effectively captures the subtle variations in human behavior, leading to a reduction in false positives and an overall increase in system reliability. Furthermore, the rule-based system is thoroughly explained, highlighting its correlation with system performance and the management of data uncertainty, which is crucial in many medical contexts. This research offers a scalable, more accurate, and privacy-preserving solution that holds significant potential for widespread adoption in healthcare and assisted living settings. The impact of our system is substantial, promising to reduce the incidence of fall-related injuries among the elderly, thereby enhancing the standard of care and quality of life. Additionally, our findings pave the way for future advancements in the application of federated learning and fuzzy inference in various fields where privacy and precision in uncertain environments are of paramount importance.

Since 2000

Total publications
1133
Total citations
12006
Citations per publication
10.6
Average publications per year
43.58
Average authors per publication
3.88
h-index
46
Metrics description

Top-30

Fields of science

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General Medicine, 94, 8.3%
Organic Chemistry, 68, 6%
Pharmaceutical Science, 66, 5.83%
Computer Science Applications, 64, 5.65%
Physical and Theoretical Chemistry, 59, 5.21%
Drug Discovery, 55, 4.85%
Molecular Medicine, 47, 4.15%
Analytical Chemistry, 47, 4.15%
Software, 46, 4.06%
Chemistry (miscellaneous), 43, 3.8%
Biochemistry, 41, 3.62%
Electrical and Electronic Engineering, 34, 3%
Artificial Intelligence, 34, 3%
Molecular Biology, 33, 2.91%
Computer Networks and Communications, 33, 2.91%
Information Systems, 31, 2.74%
Theoretical Computer Science, 31, 2.74%
Control and Systems Engineering, 28, 2.47%
Philosophy, 26, 2.29%
Pharmacology, 24, 2.12%
Sociology and Political Science, 23, 2.03%
Toxicology, 22, 1.94%
Health, Toxicology and Mutagenesis, 21, 1.85%
General Chemistry, 20, 1.77%
Cell Biology, 20, 1.77%
Economics and Econometrics, 20, 1.77%
Education, 20, 1.77%
Business and International Management, 20, 1.77%
Multidisciplinary, 19, 1.68%
General Physics and Astronomy, 17, 1.5%
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Journals

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With other organizations

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With foreign organizations

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With other countries

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USA, 170, 15%
Ukraine, 81, 7.15%
United Kingdom, 38, 3.35%
Germany, 28, 2.47%
China, 21, 1.85%
Netherlands, 18, 1.59%
Canada, 17, 1.5%
Iran, 14, 1.24%
Spain, 14, 1.24%
Italy, 14, 1.24%
Russia, 13, 1.15%
France, 13, 1.15%
Belgium, 13, 1.15%
Romania, 13, 1.15%
Kazakhstan, 12, 1.06%
Austria, 12, 1.06%
Czech Republic, 11, 0.97%
Slovakia, 9, 0.79%
Turkey, 9, 0.79%
Japan, 9, 0.79%
Greece, 8, 0.71%
Sweden, 8, 0.71%
Australia, 7, 0.62%
India, 7, 0.62%
Switzerland, 7, 0.62%
Portugal, 6, 0.53%
Norway, 6, 0.53%
Pakistan, 6, 0.53%
Lithuania, 5, 0.44%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 2000 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.