Lodz University of Technology

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Lodz University of Technology
Short name
LUT
Country, city
Poland, Lodz
Publications
15 234
Citations
237 907
h-index
137
Top-3 journals
Materials
Materials (416 publications)
Energies
Energies (308 publications)
Top-3 organizations
Medical University of Lodz
Medical University of Lodz (526 publications)
University of Lodz
University of Lodz (485 publications)
Warsaw University of Technology
Warsaw University of Technology (250 publications)
Top-3 foreign organizations

Most cited in 5 years

Mayerhoefer M.E., Materka A., Langs G., Häggström I., Szczypiński P., Gibbs P., Cook G.
Journal of Nuclear Medicine scimago Q1 wos Q1
2020-02-14 citations by CoLab: 1038 Abstract  
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic features-within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape and may, alone or in combination with demographic, histologic, genomic, or proteomic data, be used for clinical problem solving. The goal of this continuing education article is to provide an introduction to the field, covering the basic radiomics workflow: feature calculation and selection, dimensionality reduction, and data processing. Potential clinical applications in nuclear medicine that include PET radiomics-based prediction of treatment response and survival will be discussed. Current limitations of radiomics, such as sensitivity to acquisition parameter variations, and common pitfalls will also be covered.
Markowiak-Kopeć P., Śliżewska K.
Nutrients scimago Q1 wos Q1 Open Access
2020-04-16 citations by CoLab: 714 PDF Abstract  
The relationship between diet and the diversity and function of the intestinal microbiome and its importance for human health is currently the subject of many studies. The type and proportion of microorganisms found in the intestines can determine the energy balance of the host. Intestinal microorganisms perform many important functions, one of which is participation in metabolic processes, e.g., in the production of short-chain fatty acids—SCFAs (also called volatile fatty acids). These acids represent the main carbon flow from the diet to the host microbiome. Maintaining intestinal balance is necessary to maintain the host’s normal health and prevent many diseases. The results of many studies confirm the beneficial effect of probiotic microorganisms on the balance of the intestinal microbiome and produced metabolites, including SCFAs. The aim of this review is to summarize what is known on the effects of probiotics on the production of short-chain fatty acids by gut microbes. In addition, the mechanism of formation and properties of these metabolites is discussed and verified test results confirming the effectiveness of probiotics in human nutrition by modulating SCFAs production by intestinal microbiome is presented.
Decking W., Abeghyan S., Abramian P., Abramsky A., Aguirre A., Albrecht C., Alou P., Altarelli M., Altmann P., Amyan K., Anashin V., Apostolov E., Appel K., Auguste D., Ayvazyan V., et. al.
Nature Photonics scimago Q1 wos Q1
2020-05-18 citations by CoLab: 382 Abstract  
The European XFEL is a hard X-ray free-electron laser (FEL) based on a high-electron-energy superconducting linear accelerator. The superconducting technology allows for the acceleration of many electron bunches within one radio-frequency pulse of the accelerating voltage and, in turn, for the generation of a large number of hard X-ray pulses. We report on the performance of the European XFEL accelerator with up to 5,000 electron bunches per second and demonstrating a full energy of 17.5 GeV. Feedback mechanisms enable stabilization of the electron beam delivery at the FEL undulator in space and time. The measured FEL gain curve at 9.3 keV is in good agreement with predictions for saturated FEL radiation. Hard X-ray lasing was achieved between 7 keV and 14 keV with pulse energies of up to 2.0 mJ. Using the high repetition rate, an FEL beam with 6 W average power was created. The first operation of the European X-ray free-electron laser facility accelerator based on superconducting technology is reported. The maximum electron energy is 17.5 GeV. A laser average power of 6 W is achieved at a photon energy of 9.3 keV.
Twarda-Clapa A., Olczak A., Białkowska A.M., Koziołkiewicz M.
Cells scimago Q1 wos Q2 Open Access
2022-04-12 citations by CoLab: 328 PDF Abstract  
Advanced glycation end-products (AGEs) constitute a non-homogenous, chemically diverse group of compounds formed either exogeneously or endogeneously on the course of various pathways in the human body. In general, they are formed non-enzymatically by condensation between carbonyl groups of reducing sugars and free amine groups of nucleic acids, proteins, or lipids, followed by further rearrangements yielding stable, irreversible end-products. In the last decades, AGEs have aroused the interest of the scientific community due to the increasing evidence of their involvement in many pathophysiological processes and diseases, such as diabetes, cancer, cardiovascular, neurodegenerative diseases, and even infection with the SARS-CoV-2 virus. They are recognized by several cellular receptors and trigger many signaling pathways related to inflammation and oxidative stress. Despite many experimental research outcomes published recently, the complexity of their engagement in human physiology and pathophysiological states requires further elucidation. This review focuses on the receptors of AGEs, especially on the structural aspects of receptor–ligand interaction, and the diseases in which AGEs are involved. It also aims to present AGE classification in subgroups and to describe the basic processes leading to both exogeneous and endogeneous AGE formation.
Ashfaq A., Clochard M., Coqueret X., Dispenza C., Driscoll M.S., Ulański P., Al-Sheikhly M.
Polymers scimago Q1 wos Q1 Open Access
2020-11-30 citations by CoLab: 273 PDF Abstract  
Ionizing radiation has become the most effective way to modify natural and synthetic polymers through crosslinking, degradation, and graft polymerization. This review will include an in-depth analysis of radiation chemistry mechanisms and the kinetics of the radiation-induced C-centered free radical, anion, and cation polymerization, and grafting. It also presents sections on radiation modifications of synthetic and natural polymers. For decades, low linear energy transfer (LLET) ionizing radiation, such as gamma rays, X-rays, and up to 10 MeV electron beams, has been the primary tool to produce many products through polymerization reactions. Photons and electrons interaction with polymers display various mechanisms. While the interactions of gamma ray and X-ray photons are mainly through the photoelectric effect, Compton scattering, and pair-production, the interactions of the high-energy electrons take place through coulombic interactions. Despite the type of radiation used on materials, photons or high energy electrons, in both cases ions and electrons are produced. The interactions between electrons and monomers takes place within less than a nanosecond. Depending on the dose rate (dose is defined as the absorbed radiation energy per unit mass), the kinetic chain length of the propagation can be controlled, hence allowing for some control over the degree of polymerization. When polymers are submitted to high-energy radiation in the bulk, contrasting behaviors are observed with a dominant effect of cross-linking or chain scission, depending on the chemical nature and physical characteristics of the material. Polymers in solution are subject to indirect effects resulting from the radiolysis of the medium. Likewise, for radiation-induced polymerization, depending on the dose rate, the free radicals generated on polymer chains can undergo various reactions, such as inter/intramolecular combination or inter/intramolecular disproportionation, b-scission. These reactions lead to structural or functional polymer modifications. In the presence of oxygen, playing on irradiation dose-rates, one can favor crosslinking reactions or promotes degradations through oxidations. The competition between the crosslinking reactions of C-centered free radicals and their reactions with oxygen is described through fundamental mechanism formalisms. The fundamentals of polymerization reactions are herein presented to meet industrial needs for various polymer materials produced or degraded by irradiation. Notably, the medical and industrial applications of polymers are endless and thus it is vital to investigate the effects of sterilization dose and dose rate on various polymers and copolymers with different molecular structures and morphologies. The presence or absence of various functional groups, degree of crystallinity, irradiation temperature, etc. all greatly affect the radiation chemistry of the irradiated polymers. Over the past decade, grafting new chemical functionalities on solid polymers by radiation-induced polymerization (also called RIG for Radiation-Induced Grafting) has been widely exploited to develop innovative materials in coherence with actual societal expectations. These novel materials respond not only to health emergencies but also to carbon-free energy needs (e.g., hydrogen fuel cells, piezoelectricity, etc.) and environmental concerns with the development of numerous specific adsorbents of chemical hazards and pollutants. The modification of polymers through RIG is durable as it covalently bonds the functional monomers. As radiation penetration depths can be varied, this technique can be used to modify polymer surface or bulk. The many parameters influencing RIG that control the yield of the grafting process are discussed in this review. These include monomer reactivity, irradiation dose, solvent, presence of inhibitor of homopolymerization, grafting temperature, etc. Today, the general knowledge of RIG can be applied to any solid polymer and may predict, to some extent, the grafting location. A special focus is on how ionizing radiation sources (ion and electron beams, UVs) may be chosen or mixed to combine both solid polymer nanostructuration and RIG. LLET ionizing radiation has also been extensively used to synthesize hydrogel and nanogel for drug delivery systems and other advanced applications. In particular, nanogels can either be produced by radiation-induced polymerization and simultaneous crosslinking of hydrophilic monomers in “nanocompartments”, i.e., within the aqueous phase of inverse micelles, or by intramolecular crosslinking of suitable water-soluble polymers. The radiolytically produced oxidizing species from water, •OH radicals, can easily abstract H-atoms from the backbone of the dissolved polymers (or can add to the unsaturated bonds) leading to the formation of C-centered radicals. These C-centered free radicals can undergo two main competitive reactions; intramolecular and intermolecular crosslinking. When produced by electron beam irradiation, higher temperatures, dose rates within the pulse, and pulse repetition rates favour intramolecular crosslinking over intermolecular crosslinking, thus enabling a better control of particle size and size distribution. For other water-soluble biopolymers such as polysaccharides, proteins, DNA and RNA, the abstraction of H atoms or the addition to the unsaturation by •OH can lead to the direct scission of the backbone, double, or single strand breaks of these polymers.
Kemona A., Piotrowska M.
Polymers scimago Q1 wos Q1 Open Access
2020-08-05 citations by CoLab: 269 PDF Abstract  
Growing water and land pollution, the possibility of exhaustion of raw materials and resistance of plastics to physical and chemical factors results in increasing importance of synthetic polymers waste recycling, recovery and environmentally friendly ways of disposal. Polyurethanes (PU) are a family of versatile synthetic polymers with highly diverse applications. They are class of polymers derived from the condensation of polyisocyanates and polyalcohols. This paper reports the latest developments in the field of polyurethane disposal, recycling and recovery. Various methods tested and applied in recent years have proven that the processing of PU waste can be economically and ecologically beneficial. At the moment mechanical recycling and glycolysis are the most important ones. Polyurethanes’ biological degradation is highly promising for both post-consumer and postproduction waste. It can also be applied in bioremediation of water and soil contaminated with polyurethanes. Another possibility for biological methods is the synthesis of PU materials sensitive to biological degradation. In conclusion, a high diversity of polyurethane waste types and derivation results in demand for a wide range of methods of processing. Furthermore, already existing ones appear to be enough to state that the elimination of not reprocessed polyurethane waste in the future is possible.
Apostolopoulos V., Bojarska J., Chai T., Elnagdy S., Kaczmarek K., Matsoukas J., New R., Parang K., Lopez O.P., Parhiz H., Perera C.O., Pickholz M., Remko M., Saviano M., Skwarczynski M., et. al.
Molecules scimago Q1 wos Q2 Open Access
2021-01-15 citations by CoLab: 266 PDF Abstract  
Peptides are fragments of proteins that carry out biological functions. They act as signaling entities via all domains of life and interfere with protein-protein interactions, which are indispensable in bio-processes. Short peptides include fundamental molecular information for a prelude to the symphony of life. They have aroused considerable interest due to their unique features and great promise in innovative bio-therapies. This work focusing on the current state-of-the-art short peptide-based therapeutical developments is the first global review written by researchers from all continents, as a celebration of 100 years of peptide therapeutics since the commencement of insulin therapy in the 1920s. Peptide “drugs” initially played only the role of hormone analogs to balance disorders. Nowadays, they achieve numerous biomedical tasks, can cross membranes, or reach intracellular targets. The role of peptides in bio-processes can hardly be mimicked by other chemical substances. The article is divided into independent sections, which are related to either the progress in short peptide-based theranostics or the problems posing challenge to bio-medicine. In particular, the SWOT analysis of short peptides, their relevance in therapies of diverse diseases, improvements in (bio)synthesis platforms, advanced nano-supramolecular technologies, aptamers, altered peptide ligands and in silico methodologies to overcome peptide limitations, modern smart bio-functional materials, vaccines, and drug/gene-targeted delivery systems are discussed.
Efenberger-Szmechtyk M., Nowak A., Czyzowska A.
2020-02-11 citations by CoLab: 258 Abstract  
Plant extracts contain large amounts of bioactive compounds, mainly polyphenols. Polyphenols inhibit the growth of microorganisms, especially bacteria. Their mechanism of action is still not fully understood but may be related to their chemical structure. They can cause morphological changes in microorganisms, damage bacterial cell walls and influence biofilm formation. Polyphenols also influence protein biosynthesis, change metabolic processes in bacteria cells and inhibit ATP and DNA synthesis (suppressing DNA gyrase). Due to the antioxidant and antibacterial activity of phenolic compounds, plant extracts offer an alternative to chemical preservatives used in the meat industry, especially nitrates (III). They can inhibit the growth of spoilage and pathogenic microflora, suppress oxidation of meat ingredients (lipids and proteins) and prevent discoloration. In this paper, we describe the factors that influence the content of polyphenols in plants and plant extracts. We present the antimicrobial activities of plant extracts and their mechanisms of action, and discuss the effects of plant extracts on the shelf-life of meat and meat products.
Noroozi F., Corneanu C.A., Kaminska D., Sapinski T., Escalera S., Anbarjafari G.
2021-04-01 citations by CoLab: 244 Abstract  
Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestures remains a less explored topic. We present a new comprehensive survey hoping to boost research in the field. We first introduce emotional body gestures as a component of what is commonly known as ”body language” and comment general aspects as gender differences and culture dependence. We then define a complete framework for automatic emotional body gesture recognition. We introduce person detection and comment static and dynamic body pose estimation methods both in RGB and 3D. We then comment the recent literature related to representation learning and emotion recognition from images of emotionally expressive gestures. We also discuss multi-modal approaches that combine speech or face with body gestures for improved emotion recognition. While pre-processing methodologies (e.g., human detection and pose estimation) are nowadays mature technologies fully developed for robust large scale analysis, we show that for emotion recognition the quantity of labelled data is scarce. There is no agreement on clearly defined output spaces and the representations are shallow and largely based on naive geometrical representations.
Białkowska K., Komorowski P., Bryszewska M., Miłowska K.
2020-08-28 citations by CoLab: 236 PDF Abstract  
Cell cultures are very important for testing materials and drugs, and in the examination of cell biology and special cell mechanisms. The most popular models of cell culture are two-dimensional (2D) as monolayers, but this does not mimic the natural cell environment. Cells are mostly deprived of cell–cell and cell–extracellular matrix interactions. A much better in vitro model is three-dimensional (3D) culture. Because many cell lines have the ability to self-assemble, one 3D culturing method is to produce spheroids. There are several systems for culturing cells in spheroids, e.g., hanging drop, scaffolds and hydrogels, and these cultures have their applications in drug and nanoparticles testing, and disease modeling. In this paper we would like to present methods of preparation of spheroids in general and emphasize the most important applications.
Kowalska J., Cieśliński A., Aleman Lara J.J., Albrecht Ł.
2025-04-03 citations by CoLab: 0 Abstract  
AbstractPyrrolo[1,2‐a]indole derivatives are widely present in bioactive alkaloids and pharmaceuticals, with pyrroloindolones, containing a γ‐lactam fused to an indole scaffold, forming a significant class of heteroaromatic compounds due, to their presence in numerous natural products and biologically active molecules. In this study, we explored the potential of indole‐derived hydrazones as 1,2‐dinucleophiles in the N‐heterocyclic carbene (NHC)‐catalyzed formal [3+2]‐cycloaddition with α‐bromo‐α,β‐unsaturated aldehydes. A broad substrate scope was investigated, revealing the versatility of the method with various aldehydes and hydrazones. Subsequent transformations of the cycloaddition products demonstrated the synthetic utility of the developed methodology, preserving the optical purity of the final products.
Ziemińska-Stolarska A., Sobulska M., Izquierdo D., Cruz D.N., Pietrzak M., Zbicińśki I.
IEEE Access scimago Q1 wos Q2 Open Access
2025-03-10 citations by CoLab: 0
Chavda V.P., Ajabiya J., Teli D., Bojarska J., Apostolopoulos V.
Molecules scimago Q1 wos Q2 Open Access
2025-03-07 citations by CoLab: 0 PDF Abstract  
There was an error in the original paper [...]
Duraj A., Szczepaniak P.S., Sadok A.
Sensors scimago Q1 wos Q2 Open Access
2025-03-06 citations by CoLab: 0 PDF Abstract  
This paper presents a comparative analysis of selected deep learning methods applied to anomaly detection in data streams. The anomaly detection results obtained on the popular Yahoo! Webscope S5 dataset are used for the computational experiments. The two commonly used and recommended models in the literature, which are the basis for this analysis, are the following: the LSTM and its more complicated variant, the LSTM autoencoder. Additionally, the usefulness of an innovative LSTM-CNN approach is evaluated. The results indicate that the LSTM-CNN approach can successfully be applied for anomaly detection in data streams as its performance compares favorably with that of the two mentioned standard models. For the performance evaluation, the F1score is used.
Tutek K., Kosmalska-Olańska A., Masek A.
Journal of Natural Fibers scimago Q2 wos Q1 Open Access
2025-03-04 citations by CoLab: 0 PDF
El-Wakil M.H., Ghazala R.A., El-Dershaby H.A., Drozdowska D., Wróbel-Tałałaj A., Parzych C., Ratkiewicz A., Kolesińska B., Abd El-Razik H.A., Soliman F.S.
2025-03-04 citations by CoLab: 0 PDF
Gmyrek Z.
Energies scimago Q1 wos Q3 Open Access
2025-03-02 citations by CoLab: 0 PDF Abstract  
This article describes the findings of a study that examined the impact of the process of shaping the stator core of a synchronous reluctance motor on its operating parameters. The SynRM motor, with compact geometrical dimensions and a flux barrier rotor, was chosen for this study, for which the technological process of forming the stator and rotor cores may be critical. The numerical results for three types of stator core structures were compared. The first, which is commonly used by academics, has no technological cutouts in the stator. The second type has cutouts for the clamps that hold the core laminates together. The third one has cutouts that allow the core to be positioned inside the motor housing. The research campaign also investigated the effect of partial material structure degradation caused by core laminate shaping on motor operation parameters. As a consequence of the computations, the characteristics and motor parameters were compared, including torque ripple, stator core loss, and motor efficiency. It has been demonstrated that, in the case of SynRM motors with relatively small geometric dimensions, technological cutouts caused by the shaping of stator core laminates can drastically influence the motor’s characteristics.
Lasek J., Nurzynska K., Piórkowski A., Strzelecki M., Obuchowicz R.
Tomography scimago Q2 wos Q2 Open Access
2025-02-27 citations by CoLab: 0 PDF Abstract  
Background: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artificial intelligence (AI) has been successfully applied to other imaging modalities but remains underexplored in ultrasonographic evaluations of TMJ. Objective: This study aimed to develop and validate an AI-driven method for the automatic and reproducible measurement of TMJ space width from ultrasonographic images. Methods: A total of 142 TMJ ultrasonographic images were segmented into three anatomical components: the mandibular condyle, joint space, and glenoid fossa. State-of-the-art architectures were tested, and the best-performing 2D Residual U-Net was trained and validated against expert annotations. The algorithm for joint space width measurement based on TMJ segmentation was proposed, calculating the vertical distance between the superior-most point of the mandibular condyle and its corresponding point on the glenoid fossa. Results: The segmentation model achieved high performance for the mandibular condyle (Dice: 0.91 ± 0.08) and joint space (Dice: 0.86 ± 0.09), with notably lower performance for the glenoid fossa (Dice: 0.60 ± 0.24), highlighting variability due to its complex geometry. The TMJ space width measurement algorithm demonstrated minimal bias, with a mean difference of 0.08 mm and a mean absolute error of 0.18 mm compared to reference measurements. Conclusions: The model exhibited potential as a reliable tool for clinical use, demonstrating accuracy in TMJ ultrasonographic analysis. This study underscores the ability of AI-driven segmentation and measurement algorithms to bridge existing gaps in ultrasonographic imaging and lays the foundation for broader clinical applications.
Padalko H., Chomko V., Yakovlev S., Chumachenko D.
Information (Switzerland) scimago Q2 wos Q3 Open Access
2025-02-26 citations by CoLab: 0 PDF Abstract  
The spread of health-related misinformation has become a significant global challenge, particularly during the COVID-19 pandemic. This study introduces a comprehensive framework for detecting and analyzing misinformation using advanced natural language processing techniques. The proposed classification model combines BERT embeddings with Bi-LSTM architecture and attention mechanisms, achieving high performance, including 99.47% accuracy and an F1-score of 0.9947. In addition to classification, topic modeling is employed to identify thematic clusters, providing valuable insights into misinformation narratives. The findings demonstrate the effectiveness and reliability of the proposed methodology in detecting misinformation while offering tools for understanding its underlying themes. The adaptable and scalable approach makes it applicable to various domains and datasets. This research improves public health communication and combating misinformation in digital environments.
Kozłowska M., Lipińska M., Okraska M.
Polymers scimago Q1 wos Q1 Open Access
2025-02-25 citations by CoLab: 0 PDF Abstract  
Polyethylene color masterbatches containing pigment RED 122, 2,9-dimethylquinacridone, ((2,9-dimethyl-5,12-dihydroquinolino[2,3-b]acridine-7,14-dione) modified by the pulverization method in ball mills were obtained. As pigment-modifying agents, isobutyltrimethoxysilane IBTMS and octyltrietoxysilane OTES were used. The viscoelastic properties of the prepared masterbatches were investigated by using an oscillation rotational rheometer. The impact of the 2 wt.% of coloring masterbatch on the rheological behavior of polyethylene during processing at 170 °C was analyzed. Storage shear modulus G′, loss shear modulus G″, complex viscosity η* and loss factor tan δ were analyzed. Modification prevents the agglomeration of modified pigment particles in the masterbatch, leading to a significant increase in the storage shear modulus G′, from 13.83 kPa (masterbatch containing pigment RED 122) to 58.74 kPa (pigment modified with 2 wt.% of IBTMS) and 49.67 kPa (pigment modified with 2 wt.% of OTES). The analysis of the continuous relaxation models showed that the modified pigment influenced the relaxation of melted polyethylene. The tendency of the silane-modified pigment to create its “own structure” in the polyethylene carrier via particle–particle interactions was estimated based on rotational tests at low and high shear rates. The larger area of viscosity loops was determined at 170 °C for the masterbatch containing 1 wt.% of OTES-modified pigment, 2574.44 Pas(1/s), as compared with the reference masterbatch, 464.88 Pas(1/s). The Carreau and Carreau–Yasuda viscosity models were applied to analyze the flow curve and the changes in viscosity as a function of the shear rate. After pigment modification, the zero shear viscosity µ0 of the mixtures of polyethylene/pigment masterbatch changed from 234.9 Pas (pigment RED 122) to 305.9 Pas (pigment modified with 1 wt.% of IBTMS). The influence of the modified pigments on the crystallization of polyethylene and its thermal stability was investigated. The temperatures of melting Tm were determined.
Maranda A., Markowska D., Kukfisz B., Jakubczak W.
Applied Sciences (Switzerland) scimago Q2 wos Q2 Open Access
2025-02-24 citations by CoLab: 0 PDF Abstract  
Emulsion explosives are extensively utilized in the global mining industry due to their superior water resistance, high safety standards, cost-efficiency, and robust performance. The basic component of these explosives is a water-in-oil emulsion matrix, which, in its initial state, lacks the capacity for detonation. The sensitization process, achieved through either physical or chemical means, is a critical step that enhances the emulsion’s sensitivity to detonation, thereby improving its operational efficiency in blasting applications. This review presents a comprehensive and systematic analysis of the current scientific literature and experimental investigations concerning the impact of key sensitizing methods and agents on the detonation characteristics of emulsion explosives. Particular emphasis is placed on the classification of sensitizers, their physicochemical properties, and their interactions with the emulsion matrix. By examining various sensitization mechanisms, this study provides insights into the role and efficacy of both established and emerging sensitizing agents. The findings of this review highlight the pivotal role of sensitizer selection in defining the detonation performance of emulsion explosives, with implications for enhancing safety standards and ensuring the protection of both industrial operations and public safety. The most optimal sensitization method is chemical, utilizing cost-effective components that generate gas bubbles within the matrix. A key advantage is the in situ production of emulsion explosives, which eliminates the need for their transport on public roads, thereby enhancing safety and reducing the risk of terrorist threats.
Marek K., Olejniczak A., Miller E., Zubrycki I.
Sensors scimago Q1 wos Q2 Open Access
2025-02-23 citations by CoLab: 0 PDF Abstract  
Upper-limb paresis is one of the main complications after stroke. It is commonly associated with impaired wrist-extension function. Upper-limb paresis can place a tremendous burden on stroke survivors and their families. A novel soft-actuator device, the Balonikotron, was designed to assist in rehabilitation by utilizing a balloon mechanism to facilitate wrist-extension exercises. This pilot study aimed to observe the functional changes in the paralyzed upper limb and improvements in independent and cognitive functions following a 4-week regimen using the device, which incorporates a multimedia tablet application providing audiovisual feedback. The device features a cardboard construction with a hinge at wrist level and rails that guide hand movement as the balloon inflates, controlled by a microcontroller and a tablet-based application. It operates on the principle of moving the hand at the wrist by pushing the palm upwards through a surface actuated by a balloon. A model was developed to describe the relationship between the force exerted on the hand, the angle on hinge, the pressure within the balloon, and its volume. Experimental validation demonstrated a Pearson correlation of 0.936 between the model’s force predictions and measured forces, supporting its potential for real-time safety monitoring by automatically shutting down when force thresholds are exceeded. A pilot study was conducted with 12 post-stroke patients (six experimental, six control), who participated in a four-week wrist-extension training program. Clinical outcomes were assessed using the Fugl–Meyer Assessment for the Upper Extremity (FMA-UE), Modified Rankin Scale (mRS), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), wrist Range of Motion (ROM), and Barthel Index (BI). Statistically significant results were obtained for the Barthel index (p < 0.05) and FMA-UE, indicating that the experimental use of the device significantly improved functional independence and self-care abilities. The results of our pilot study suggest that the Balonikotron device, which uses the principles of mirror therapy, may serve as a valuable adjunct to conventional rehabilitation for post-stroke patients with hemiparetic hands (BI p = 0.009, MMSE p = 0.151, mRS p = 0.640, FMA-UE p = 0.045, MOCA p = 0.187, ROM p = 0.109).
Kula Z., Dąbrowska K., Klimek L.
Processes scimago Q2 wos Q2 Open Access
2025-02-22 citations by CoLab: 0 PDF Abstract  
Metal alloys continue to be, and are expected to remain, essential materials for fabricating prosthetic elements due to their unique properties, particularly their high strength, durability, and appropriate modulus of elasticity, which make them well-suited for such applications. However, commonly used non-precious metal alloys exhibit lower corrosion resistance compared to precious metal alloys. This reduced resistance leads to the release of metal ions from the alloy into the oral environment. Adverse biological responses to metal alloys can be mitigated through various surface modifications, most commonly by applying coatings. These coatings are typically ceramic, including oxides, nitrides, and carbides. In this study, the mechanical properties (hardness, modulus of elasticity, adhesion, and thickness) of complex Si(C,N) coatings applied to a prosthetic Ni-Cr alloy were investigated. Depending on the proportions of N, C, and Si in the coating, the hardness ranged from 12 to 15 GPa, while the modulus of elasticity varied between 130 and 170 GPa. Adhesion strength, measured via the scratch test method, was within an acceptable range. Microscopic analysis revealed that the coatings had a thickness of 2 to 2.5 μm, exhibiting a homogeneous, columnar structure. In conclusion, the properties of the fabricated Si(C,N) coatings are deemed satisfactory for their intended use as protective layers for prosthetic and orthodontic components.
Marcinek A., Katarzynska J., Gebicki J.
Frontiers in Physiology scimago Q2 wos Q2 Open Access
2025-02-19 citations by CoLab: 0 PDF Abstract  
Flow Mediated Skin Fluorescence (FMSF) is a new non-invasive diagnostic method for assessing vascular circulation and/or metabolic regulation. The method measures stimulation of the circulation in response to post-occlusive reactive hyperemia (PORH). It analyzes the dynamical changes in NADH fluorescence emitted from skin tissue, providing information on mitochondrial metabolic status and intracellular oxygen delivery through the circulatory system. Assessment of the vascular state using the FMSF technique is based on three parameters: flowmotion (FM) under normoxia conditions, hypoxia sensitivity (HS), and hyperemic response (HRmax). The functioning of mitochondria can be assessed by analyzing the ischemic response (IRmax), hypoxia sensitivity (HS), and the basal level of NADH fluorescence. There is a close relationship between the functioning of mitochondria and the vascular system. Despite these interactions, mitochondrial and vascular regulatory function can be monitored separately as well as simultaneously by the FMSF technique. Uniquely, this approach delivers information on both mitochondrial and vascular function based on a single measurement.

Since 1959

Total publications
15234
Total citations
237907
Citations per publication
15.62
Average publications per year
230.82
Average authors per publication
4.12
h-index
137
Metrics description

Top-30

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General Chemistry, 1745, 11.45%
Condensed Matter Physics, 1722, 11.3%
General Materials Science, 1603, 10.52%
Physical and Theoretical Chemistry, 1538, 10.1%
Organic Chemistry, 1378, 9.05%
Materials Chemistry, 1337, 8.78%
Electrical and Electronic Engineering, 1329, 8.72%
General Medicine, 1154, 7.58%
Mechanical Engineering, 1102, 7.23%
Biochemistry, 1032, 6.77%
Applied Mathematics, 928, 6.09%
Polymers and Plastics, 902, 5.92%
General Chemical Engineering, 871, 5.72%
Analytical Chemistry, 749, 4.92%
Mechanics of Materials, 729, 4.79%
Electronic, Optical and Magnetic Materials, 715, 4.69%
General Physics and Astronomy, 705, 4.63%
Inorganic Chemistry, 692, 4.54%
Computer Science Applications, 660, 4.33%
Industrial and Manufacturing Engineering, 598, 3.93%
Surfaces, Coatings and Films, 563, 3.7%
Catalysis, 538, 3.53%
Spectroscopy, 499, 3.28%
Drug Discovery, 489, 3.21%
Instrumentation, 481, 3.16%
Molecular Biology, 475, 3.12%
Atomic and Molecular Physics, and Optics, 475, 3.12%
Energy Engineering and Power Technology, 470, 3.09%
Renewable Energy, Sustainability and the Environment, 466, 3.06%
Civil and Structural Engineering, 456, 2.99%
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2000
2500
3000
3500
4000
4500
500
1000
1500
2000
2500
3000
3500
4000
4500

With other organizations

100
200
300
400
500
600
100
200
300
400
500
600

With foreign organizations

20
40
60
80
100
120
140
160
20
40
60
80
100
120
140
160

With other countries

100
200
300
400
500
600
700
Germany, 683, 4.48%
USA, 608, 3.99%
France, 452, 2.97%
Italy, 357, 2.34%
Russia, 340, 2.23%
United Kingdom, 318, 2.09%
China, 283, 1.86%
Ukraine, 239, 1.57%
Spain, 224, 1.47%
India, 211, 1.39%
Belgium, 176, 1.16%
Czech Republic, 166, 1.09%
Switzerland, 143, 0.94%
Pakistan, 136, 0.89%
Slovakia, 134, 0.88%
Finland, 133, 0.87%
Saudi Arabia, 126, 0.83%
Iran, 125, 0.82%
Canada, 114, 0.75%
Netherlands, 114, 0.75%
Japan, 107, 0.7%
Portugal, 98, 0.64%
Turkey, 90, 0.59%
Egypt, 88, 0.58%
South Africa, 85, 0.56%
Australia, 83, 0.54%
Brazil, 77, 0.51%
Greece, 72, 0.47%
Lithuania, 68, 0.45%
100
200
300
400
500
600
700
  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1959 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.