Next Article in Journal
A New Method for Predicting the Dynamic Coal Consumption of Coal-Fired Dual Heating Systems
Previous Article in Journal
Impact of Incubation Conditions and Addition of Red Beet and Leek Powders as Natural Nitrate Sources on the Physicochemical and Sensory Properties of Cooked Sausages
Previous Article in Special Issue
Toxicity Assessment of a Biolubricant Exposed to Eisenia fetida
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Editorial for Special Issue on “10th Anniversary of Processes: Women’s Special Issue Series”

by
Alina Pyka-Pająk
Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jagiellońska 4, 41-200 Sosnowiec, Poland
Processes 2025, 13(11), 3491; https://doi.org/10.3390/pr13113491
Submission received: 13 October 2025 / Accepted: 27 October 2025 / Published: 30 October 2025
(This article belongs to the Special Issue 10th Anniversary of Processes: Women's Special Issue Series)
Continuous scientific research is essential because it enables us to expand our knowledge constantly, discover new truths and develop a better understanding of reality by describing, explaining and predicting it. It also provides an opportunity to create new solutions and methods, monitor phenomena, take effective action and respond quickly to changes, ultimately leading to progress in various areas of life. The primary aim of scientific research is to discover the truth and answer new questions, forming the basis for the advancement of knowledge. It enables us to understand and describe phenomena and their relationships, and to explain their causes and effects. It enables the development of new and improved research methods and innovative solutions to problems. Processes is an interdisciplinary journal devoted to processes and systems in chemistry, biology, materials science, energy, the environment, food, pharmacy, production, automation, control, catalysis, separation and particle engineering, as well as related fields [1,2,3,4,5,6,7,8,9,10].
We are delighted to present this Special Issue, which showcases the achievements of female scientists in process/systems research across a range of fields, including chemistry, biology, materials science, energy, the environment, food, pharmacy, manufacturing, and related engineering disciplines. This Special Issue is dedicated to presenting the work of female scientists at all stages of their careers. In the volume of this Special Issue entitled “10th Anniversary of Processes: Women’s Special Issue Series” (https://www.mdpi.com/journal/processes/special_issues/Women_Series_Processes; accessed on 3 October 2025), 32 articles were published, including 30 original [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40] articles and 2 reviews [41,42]. These publications were authored by 137 scientists from the following countries: Poland, China, Romania, Mexico, Sloviaka, Palestine, USA, Malaysia, Greece, Türkiye, Djibouti, Pakistan, Taiwan, and Morocco (Figure 1).
From an environmental perspective, reducing household, food and industrial waste, as well as carbon dioxide emissions, is extremely important. Several articles in this Special Issue address these issues [11,12,13,14,15,16]. Vázquez-Villegas et al. [11] produced a biolubricant suitable for use in agricultural machinery from transesterified fatty acids obtained from chicken skin fat. Tests on the biolubricant’s toxicity showed that, in the event of accidental spillage, it would not cause damage to soil, organisms living in it or people coming into contact with it. Olive pomace is characterized by a high content of organic compounds and polyphenols, which makes it a threat to the environment when stored in landfills and also limits its feed potential. Olive pomace may be a good candidate for biomethane production due to its rich content of polysaccharides (pectins, hemicellulose and cellulose). Two methods of biomethane production were compared. The first method involves descaling, i.e., removing seed fragments by mechanical means, and the second method involves enzymatic pre-treatment of the pulp. After 30 days, both methods produced similar amounts of methane. The study showed that olive pomace can be used for the production of second-generation biofuels, and the resulting digestate can be valuable in improving soil quality [12]. Mohamed Ali et al. [13] used food waste as raw material for biogas production, which posed certain difficulties due to the inefficient hydrolysis process. For this reason, the study focused on increasing biogas production through anaerobic fermentation. Four different fermenters were used, including a control fermenter. In the control fermenter, where no hydrolyzed food waste was used, no immobilized biofilm was found, while in the other three fermenters, immobilized biofilm was used. The fermenter containing 50% inoculum had the highest biogas yield. Anaç and Doğan [14] investigated the suitability of three types of organic waste—walnut shells, olive pomace, and mussel shells—for use in abrasive blasting. Test sets for sandblasting were developed. They found that blasting time had the greatest effect on surface roughness. In contrast, the organic material had a polishing effect rather than an abrasive one. In another study, Anaç [15] investigated how the type of material forming joint pairs affects joint strength. The highest strength was obtained in pairs of similar 3D-printed materials (Tough PLA/Tough PLA joints, 4 MPa). Among pairs of materials with different strengths, the highest strength was found in Tough PLA/galvanized steel joints (4.17 MPa). Consequently, it was concluded that TPU and Tough PLA materials produced by 3D printing could serve as an alternative to rubber. Panagiotopoulou et al. [16] investigated whether the 3D printing process is environmentally friendly. Their study revealed that carbon dioxide emissions during the process were significant compared to total carbon dioxide emissions. Furthermore, carbon dioxide emissions from the isopropanol (IPA) bath accounted for over 50% of the total carbon footprint of stereolithography (SLA). Subsequent years have seen further research in this area by other scientists [10,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58].
Wu and Li [17] applied the discrete element method (DEM) in combination with computational fluid dynamics (CFD) to study a fluidized microbed. The authors proposed a so-called particle circumstance-dependent drag model that is dependent on a particle’s complex circumstances. The results showed that the formation and fragmentation of clusters in a rapidly fluidized state with compaction are clearly captured and that both processes are synchronized in time. In another study, Wu et al. [18] used DEM to simulate the rapid fluidization of fine particles in a microfluidic bed (MFB) based on a polychlorinated dibenzo-p-dioxin (PCDD) model. Another manuscript [19] describes two-dimensional Kelvin–Helmholtz (KH) instability in the shear flow of polymer fluids. This instability is modeled using the dissipative particle dynamics (DPD) method. The results showed that waves and vortices grow more slowly in polymer fluid shear flow than in Newtonian fluid shear flow. Additionally, it was found that the polymer and its properties significantly influence the formation and evolution of coherent structures, such as waves and vortices, in the KH instability process. Wu et al. [20] used DEM with an appropriate selection of constant stiffness and time step to simulate a microfluidized FCC Type A powder bed. They defined the so-called relative DEM time step. The resistance coefficient was correlated using an energy-minimization multi-scale EMMS) to calculate gas–solid interactions. Wang et al. [21] analyzed the control and discharge processes of modular multilevel converter (MMC) capacitors in the event of a fault current in a three-phase system. The outer loop control of the MMCs changes the fault injection. The authors demonstrated that the fault currents could be increased or decreased within the MMC’s capacity. Huang et al. [22] used KIT-6 silica to support nickel-based catalysts. They investigated the catalytic activity of NiO/KIT-6 samples. The NiO/KIT-6 catalyst with a 10% weight concentration exhibits high catalytic efficiency in methane combustion. However, the interaction between NiO and KIT-6 in the 10% NiO/KIT-6 catalyst is weak. The surface oxygen of the NiO/KIT-6 catalyst enables high catalytic efficiency. NiO/KIT-6 catalysts demonstrate superior activity compared to SBA-15, MCF, and SiO2 catalysts. The NiO/KIT-6 catalyst retains its ordered mesostructure and reducing properties. Xu et al. [23] performed multispherical modeling (MS) of three types of Cyperus esculentus seeds. They examined the problem of multiple contact points in the MS model. For comparison, they used the Hertz Mindlin (no slip) (HM) model and Hertz Mindlin new restitution (HMNR). They also checked the relationship between the moisture content in the seeds and Young’s modulus, and between Young’s modulus and the number of contact points. As the moisture content increased, the Young’s modulus decreased and, at the same time, the number of contact points decreased. The importance of the problems presented in the manuscripts [17,18,19,20,21,22,23] is confirmed by subsequent scientific papers published on this subject by other scientists [59,60,61,62,63,64,65,66,67,68,69,70,71,72].
Hung [24] proposed a model that combines image processing, deep learning algorithms, and cloud computing. This model enables the automatic detection of anomalies in production plant operations. The novel aspect of this research is the connection between the production plant and the cloud. Su et al. [25] proposed a dynamic resource configuration structure and a hybrid algorithm that integrates manufacturing knowledge in order to solve the resource configuration problem. Malindzakova et al. [26] used Shewhart control charts to evaluate the quality of plastic moldings for the automotive industry. They subjected the width and length of the moldings to statistical analysis. The authors noted that an important condition for setting up control charts is to collect measurement values regularly and to follow the correct chronological order. Teplická and Sedláková [27] evaluated the quality of cement production at a company in Slovakia. They used statistical, economic, and financial analyses, as well as quality management tools such as Ishikawa diagrams, regression diagrams, correlations, and box plots. The authors identified barriers in the cement production process, finding that the most significant factor was the qualifications of the people involved. The authors examined the components of cement that most determine its quality. Their analysis of the barriers in the cement production process revealed that the most critical elements are the individuals involved and their qualifications. Subsequent years saw continued research on this topic by other scientists [73,74,75,76,77,78,79,80,81,82].
Further scientific papers [28,29,30,31,32,33,34,35,36,37,38,39] in this Special Issue concerned medical and pharmaceutical topics. Lipophilicity is one of the most important physicochemical properties of biologically active compounds affecting their biological activity. Lipophilicity allows us to predict absorption, distribution, metabolism, and excretion, i.e., the behavior of a drug in the patient’s body after administration. Klimoszek and Pyka-Pająk [28] studied the lipophilicity of fumaric and maleic acids in an n-octanol-water system using a traditional method and thin-layer partition chromatography (RP-TLC). Experimental partition coefficients (logPexp) were equal to −0.65 and 0.63 for MA and FA, respectively. Chromatographic lipophilicity was determined on various chromatographic plates (RP8F254s, RP18WF254, and CNF254s). Topological indices derived from distance matrices allowed for the development of a new method for the evaluation of the lipophilicity of MA and FA. All methods applied in this work indicate that MA is less lipophilic than FA. The methods used in this work to determine lipophilicity are of particular importance in the aspect of studying cis- and trans-configuration compounds, because generally available computer programs based on various algorithms (Virtual Computational Chemistry Laboratory and Molinspiration Cheminformatics) indicate that fumaric acid and maleic acid have identical logP values [28].
Betulin exhibits anticancer and anti-inflammatory properties. Lubczyńska et al. [29] studied how betulin and its selected alkynyl derivatives promote changes in the expression of genes associated with inflammation in colon cancer cells. They tested cytotoxicity using the sulforhodamine B test and tested lipophilicity using thin-layer partition chromatography (RP-TLC). Gene expression profiling in adenocarcinoma cells was performed using oligonucleotide microarrays. These studies revealed that betulin and its derivatives influence changes in the expression profiles of genes associated with inflammatory processes in colon adenocarcinoma cell lines. The authors emphasize the need for further research on betulin and the chemical modification of its derivatives.
The TLC method combined with densitometry was developed for the simultaneous determination of sertraline and fluoxetine in pharmaceutical preparations [30]. Solutions of sertraline and fluoxetine were subjected to accelerated aging. Using these solutions, chromatographic conditions were developed (chromatographic plates—silica gel 60F254 and mobile phase acetone + chloroform + ammonia, 10:5:1, v/v) allowing for the separation of as many degradation products of sertraline and fluoxetine as possible. The RF values of sertraline and fluoxetine differ from those of fluoxetine and sertraline degradation products. The developed method was simple, economical, specific, precise, accurate, sensitive, and reliable, with a wide linearity range, for the quantitative determination of fluoxetine and sertraline in pharmaceutical preparations.
Ketoconazole has a number of adverse effects when used topically. When administered orally in tablets, its bioavailability is low due to poor water solubility. For this reason, the authors proposed ketoconazole derivatives that also have antifungal properties, which they then incorporated into β-cyclodextrin complexes to achieve optimal bioavailability and physicochemical stability of the proposed drugs [31]. Other studies [32] indicate that the use of albumin as a biopolymer, which is characterized by biodegradability and bioavailability, in combination with chlorambucil can be used for a controlled drug delivery system. Bădiceanu [33] synthesized a series of phthalimide derivatives and determined the structure of the obtained compounds using nuclear magnetic resonance (NMR) and infrared (IR) spectra. All the obtained compounds exhibited antioxidant activity, which was determined using the DPPH method.
Rahhal et al. [34] assessed lung function parameters in detergent factory workers and a control group, i.e., workers who do not work with chemical reagents. To this end, spirometry tests were performed, and forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), FEV1/FVC ratio and peak expiratory flow (PEF) were recorded. The study showed that detergent factory workers have significantly lower lung function compared to workers in other occupations not involving chemical reagents. Lipka-Trawińska et al. [35] developed an objective assessment of the skin before and after IPL (Intense Pulsed Light) treatments. They evaluated patients with erythematous lesions, vascular skin, and/or acne. Cross-polarized light image analysis allows for effective visualization of vascular lesions on the face. They demonstrated the usefulness of GLCM and QTDECOMP algorithms for quantitative analysis of vascular lesions on the facial skin. One of the most common dermatological diseases is psoriasis. Odrzywołek et al. [36] compared psoriatic skin to healthy skin using non-invasive imaging methods. They demonstrated that skin density, epidermal thickness, blood supply, temperature, and reflectance coefficient are useful parameters for monitoring psoriasis and its treatment. In another study, the same authors evaluated the effectiveness of an Nd:YAG laser in reducing psoriatic lesions [37]. The psoriatic lesions of the study participants were imaged using a DUB SkinScanner ultrasound device. Additional skin parameters assessed included stratum corneum hydration and levels of melanin and hemoglobin. The study found that laser therapy contributes to reducing psoriatic lesions, increasing skin density, decreasing epidermal thickness, improving epidermal hydration, and decreasing hemoglobin concentration, which indicates a reduction in inflammation. Paul-Samojedny et al. [38] investigated the efficacy of combining celastrol with the silencing of miR-9-2, miR-17, and miR-19 gene expression in the U251MG human glioblastoma cell line. Their studies revealed significant reductions in cell viability and proliferation, as well as an accumulation of cells in the subG1 phase and a decrease in the cell population in the S and G2/M phases. They also observed the induction of apoptosis and autophagy. Endometriosis is a common chronic inflammatory disease associated with disorders of the female immune system. Smycz-Kubańska et al. [39] evaluated the chemokine and fractalkine content in the peritoneal fluid of women with and without endometriosis. They observed a statistically significant increase in the concentration of MIP-1β, eotaxin 2, eotaxin 3, ENA-78, and fractalkine, as well as a decrease in the concentration of MCP-1, MCP-2, MCP-3, MCP-4, and MIP-1α, compared to the reference group. The concentration of these cytokines also depended on the stage of the disease. The importance of works published in Special Issues on medical and pharmaceutical research is indicated by manuscripts published in subsequent years by other scientists [83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Determining the presence of metals in herbs and spices is crucial for protecting consumer health, as heavy metals such as lead, cadmium, and arsenic can accumulate in the body and lead to poisoning and organ damage. Fisher and Brodziak-Dopierała [40] examined selected spices, including peppermint (Mentha piperita), basil (Ocimum basilicum), lovage (Levisticum officinale), and parsley (Petroselinum crispum), from their own cultivation and from ready-made commercial products. They determined the mercury concentration in these herbs. The Hg content of the tested spice samples ranged from 1.20 to 17.35 µg/kg, averaging 6.95 µg Hg/kg. Peppermint had the highest Hg concentration, at 9.39 µg/kg. The Hg concentration in home-grown plants was statistically significantly higher than in commercial products purchased in stores. Subsequently, other scientists [115,116,117] also described the problem of metal contamination of herbs.
Two review articles have been published in a Special Issue. The first [41] discusses the underestimation of articular cartilage in forensic science and medicine. It can be used to estimate the age of the deceased and is an excellent material for postmortem DNA isolation and identification. However, the role of cartilage in detecting toxic substances that are the main or indirect cause of death is still not well understood.
Hoshin Kanri is a process control method originating from Japan that is used by corporations and large companies. The second review paper [42] describes the Hoshin Kanri process and its practical implementations in various sectors. Successful implementations of Hoshin Kanri have been observed mainly in manufacturing and IT organizations, as well as in other sectors such as healthcare and education. Implementing Hoshin Kanri successfully improves market position and achieves leadership. Other reasons include achieving company goals and increasing annual turnover.
I strongly encourage all scientists to read the publications included in this Special Issue of Processes on “10th Anniversary of Processes: Women’s Special Issue Series”.
I would like to express my thanks to all the authors and Prof. Dr. Giancarlo Cravotto, the Editor-in-Chief, for their invaluable contributions to this Special Issue, as well as to the editorial staff of Processes for their assistance and effort.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Martin, A.M.; Cordero-De La Cruz, D.; Swierk, L. High Dissolved Oxygen Extends Dive Duration and Suggests Physical Gill Use in a Vertebrate. J. Exp. Biol. 2025, 228, jeb250627. [Google Scholar] [CrossRef] [PubMed]
  2. Pal, P.K.; Hens, A.; Behera, N.; Lahiri, S.K. Digital Twins: Transforming the Chemical Process Industry—A Review. Can. J. Chem. Eng. 2025, 103, 3611–3636. [Google Scholar] [CrossRef]
  3. Andriani, G.; Pio, G.; Salzano, E.; Vianello, C.; Mocellin, P. Evaluating the thermal stability of chemicals and systems: A review. Can. J. Chem. Eng. 2025, 103, 42–62. [Google Scholar] [CrossRef]
  4. Silva, S.E.; Corrêa, S.F.; Monnerat, C.S. The Role of Green Processes in Supporting the Transition to a Sustainable Future. Sustain. Futures 2025, 10, 101034. [Google Scholar] [CrossRef]
  5. Galan, N.J.; Dishner, I.T.; Sumpter, B.G.; Kertesz, V.; Abdul Rahman, N.B.; Polo-Garzon, F.; Demchuk, Z.; Saito, T.; Foster, J.C. Upcycling of Polyethylene Terephthalate to High-Value Chemicals by Carbonate-Interchange Deconstruction. Green Chem. 2025; in press. [Google Scholar] [CrossRef]
  6. Makepa, D.C.; Chihobo, C.H. Sustainable Pathways for Biomass Production and Utilization in Carbon Capture and Storage—A Review. Biomass Convers. Biorefinery 2025, 15, 11397–11419. [Google Scholar] [CrossRef]
  7. Chakraborty, P.; Kumar, R.; Banerjee, A.; Chakrabortty, S.; Pal, M.; Upadhyaya, A.; Chowdhury, S.; Ali Khan, M.; Jeon, B.-H.; Tripathy, S.K.; et al. Advancing Biorefineries with Ultrasonically Assisted Ionic Liquid-Based Delignification: Optimizing Biomass Processing for Enhanced Bio-Based Product Yields. Biomass Bioenergy 2025, 192, 107495. [Google Scholar] [CrossRef]
  8. Dossow, M.; Steinrücken, B.; Schmid, M.; Rosenfeld, D.C.; Fendt, S.; Kerscher, F.; Spliethoff, H. Technical Evaluation and Life-Cycle Assessment of Solid Oxide Co-electrolysis Integration in Biomass-to-Liquid Processes for Sustainable Aviation Fuel Production. Appl. Therm. Eng. 2025, 260, 124882. [Google Scholar] [CrossRef]
  9. Elipe, M.V.S. NMR Detective Agency: Uncovering the Truth for Process Chemists. Org. Process Res. Dev. 2025, 29, 255–269. [Google Scholar] [CrossRef]
  10. Aït-Kaddour, A.; Hassoun, A.; Tarchi, I.; Loudiyi, M.; Boukria, O.; Cahyana, Y.; Ozogul, F.; Khwaldia, K. Transforming Plant-Based Waste and By-Products into Valuable Products using Various “Food Industry 4.0” Enabling Technologies: A Literature Review. Sci. Total Environ. 2024, 955, 176872. [Google Scholar] [CrossRef]
  11. Vázquez-Villegas, P.T.; Hernández-Cruz, M.d.C.; Lam-Gutiérrez, A.; Rodríguez-Hernández, L.; Valdespino-León, M.; Zenteno-Rojas, A.; Meza-Gordillo, R.; Cruz-Salomón, A.; Serrano-Ramírez, R.d.P.; Cruz-Rodríguez, R.I. Toxicity Assessment of a Biolubricant Exposed to Eisenia fetida. Processes 2023, 11, 3020. [Google Scholar] [CrossRef]
  12. Tai, P.; Spierling, R.; Carroll, J.; Jung, S. Biochemical Methane Potential of Mechanically and Enzymatically Pretreated Solid Olive Mill Waste. Processes 2023, 11, 865. [Google Scholar] [CrossRef]
  13. Mohamed Ali, A.; Alam, M.Z.; Mohamed Abdoul-latif, F.; Jami, M.S.; Gamiye Bouh, I.; Adebayo Bello, I.; Ainane, T. Production of Biogas from Food Waste Using the Anaerobic Digestion Process with Biofilm-Based Pretreatment. Processes 2023, 11, 655. [Google Scholar] [CrossRef]
  14. Anaç, N.; Doğan, Z. Effect of Organic Powders on Surface Quality in Abrasive Blasting Process. Processes 2023, 11, 1925. [Google Scholar] [CrossRef]
  15. Anaç, N. Assessment of Adhesively Bonded Joints of Similar and Dissimilar Materials: Industrial Case Study. Processes 2023, 11, 1312. [Google Scholar] [CrossRef]
  16. Panagiotopoulou, V.C.; Paraskevopoulou, A.; Stavropoulos, P. A Modelling-Based Framework for Carbon Emissions Calculation in Additive Manufacturing: A Stereolithography Case Study. Processes 2023, 11, 2574. [Google Scholar] [CrossRef]
  17. Wu, G.; Li, Y. CFD-DEM Simulation of Slugging and Non-Slugging Fast Fluidization of Fine Particles in a Micro Riser. Processes 2023, 11, 2977. [Google Scholar] [CrossRef]
  18. Wu, G.; Li, Q.; Zuo, Z. CFD-DEM Simulation of Fast Fluidization of Fine Particles in a Micro Riser. Processes 2023, 11, 2417. [Google Scholar] [CrossRef]
  19. Wu, G.; Li, Y.; Wang, H.; Li, S. Research on the Mesoscopic Characteristics of Kelvin–Helmholtz Instability in Polymer Fluids with Dissipative Particle Dynamics. Processes 2023, 11, 1755. [Google Scholar] [CrossRef]
  20. Wu, G.; Li, Y.; Israr, M. Improvement of Relative DEM Time Step Range in Fast Fluidization Simulation of Type-A FCC Particles. Processes 2023, 11, 1155. [Google Scholar] [CrossRef]
  21. Wang, X.; Chen, Z.; Zhang, Y.; Jiang, Q.; Li, B.; He, Y.; Li, Q. The Short-Circuit Fault Current Impact Mechanism and Adaptive Control Strategy of an MMC-HVDC. Processes 2023, 11, 837. [Google Scholar] [CrossRef]
  22. Huang, X.; Yang, W.; Li, Z.; Lou, Q.; Tian, Y.; Li, J. Nickel Oxide Nanoparticles on KIT-6: An Efficient Catalyst in Methane Combustion. Processes 2023, 11, 1004. [Google Scholar] [CrossRef]
  23. Xu, T.; Zhang, R.; Jiang, X.; Feng, W.; Wang, Y.; Wang, J. Study on Verification Approach and Multicontact Points Issue When Modeling Cyperus esculentus Seeds Based on DEM. Processes 2023, 11, 825. [Google Scholar] [CrossRef]
  24. Hung, Y.-H. A Laborer’s Mask-Wearing Behavior Detection Approach in the Manufacturing Field. Processes 2023, 11, 1086. [Google Scholar] [CrossRef]
  25. Su, X.; Zhang, C.; Chen, C.; Fang, L.; Ji, W. Dynamic Configuration Method of Flexible Workshop Resources Based on IICA-NS Algorithm. Processes 2022, 10, 2394. [Google Scholar] [CrossRef]
  26. Malindzakova, M.; Čulková, K.; Trpčevská, J. Shewhart Control Charts Implementation for Quality and Production Management. Processes 2023, 11, 1246. [Google Scholar] [CrossRef]
  27. Teplická, K.; Sedláková, Z. Evaluation of the Quality of the Cement Production Process in Terms of Increasing the Company’s Performance. Processes 2023, 11, 791. [Google Scholar] [CrossRef]
  28. Klimoszek, D.; Pyka-Pająk, A. Lipophilicity Study of Fumaric and Maleic Acids. Processes 2023, 11, 993. [Google Scholar] [CrossRef]
  29. Lubczyńska, A.; Bębenek, E.; Garncarczyk, A.; Wcisło-Dziadecka, D. Evaluation of the Effect of Betulin and Its Alkynyl Derivatives on the Profile of Changes in Gene Expression of the Inflammatory Process of Colorectal Adenocarcinoma Cells (HT-29 Cell Line). Processes 2023, 11, 2676. [Google Scholar] [CrossRef]
  30. Pyka-Pająk, A. New TLC Method Combined with Densitometry for Determination of Sertraline and Fluoxetine in Pharmaceutical Preparations. Processes 2022, 10, 2083. [Google Scholar] [CrossRef]
  31. Lisa, E.L.; Dragostin, O.M.; Petroaie, A.D.; Gurau, G.; Cristea, A.; Pavel, A.; Bonifate, F.; Popa, P.S.; Matei, M. The Effect of the New Imidazole Derivatives Complexation with Betacyclodextrin, on the Antifungal Activity in Oropharyngeal Infections. Processes 2022, 10, 2697. [Google Scholar] [CrossRef]
  32. Kulig, K.; Ziąbka, M.; Pilarczyk, K.; Owczarzy, A.; Rogóż, W.; Maciążek-Jurczyk, M. Physicochemical Study of Albumin Nanoparticles with Chlorambucil. Processes 2022, 10, 1170. [Google Scholar] [CrossRef]
  33. Bădiceanu, C.D.; Mares, C.; Nuță, D.C.; Avram, S.; Drăghici, C.; Udrea, A.-M.; Zarafu, I.; Chiriță, C.; Hovaneț, M.V.; Limban, C. N-Substituted (Hexahydro)-1H-isoindole-1,3(2H)-dione Derivatives: New Insights into Synthesis and Characterization. Processes 2023, 11, 1616. [Google Scholar] [CrossRef]
  34. Rahhal, B.; Nazzal, Z.; Jamal, A.; Quqa, O.; Makharze, T.; Aqel, N. Spirometric Profile among Detergents Factory Workers in the North West Bank of Palestine: A Cross-Sectional Study. Processes 2023, 11, 955. [Google Scholar] [CrossRef]
  35. Lipka-Trawińska, A.; Wilczyński, S.; Deda, A.; Koprowski, R.; Lebiedowska, A.; Wcisło-Dziadecka, D. Quantitative vs. Qualitative Assessment of the Effectiveness of the Removal of Vascular Lesions Using the IPL Method—Preliminary Observations. Processes 2022, 10, 2225. [Google Scholar] [CrossRef]
  36. Odrzywołek, W.; Deda, A.; Zdrada, J.; Wcisło-Dziadecka, D.; Lipka-Trawińska, A.; Błońska-Fajfrowska, B.; Wilczyński, S. Assessment of Psoriatic Skin Features Using Non-Invasive Imaging Technique. Processes 2022, 10, 985. [Google Scholar] [CrossRef]
  37. Odrzywołek, W.; Deda, A.; Zdrada, J.; Wcisło-Dziadecka, D.; Błońska-Fajfrowska, B.; Wilczyński, S. Quantitative Assessment of the Efficacy of the Nd:YAG Laser Therapy of Psoriasis. Processes 2022, 10, 1404. [Google Scholar] [CrossRef]
  38. Paul-Samojedny, M.; Liduk, E.; Borkowska, P.; Zielińska, A.; Kowalczyk, M.; Suchanek-Raif, R.; Kowalski, J.A. Celastrol with a Knockdown of miR-9-2, miR-17 and miR-19 Causes Cell Cycle Changes and Induces Apoptosis and Autophagy in Glioblastoma Multiforme Cells. Processes 2022, 10, 441. [Google Scholar] [CrossRef]
  39. Smycz-Kubańska, M.; Kondera-Anasz, Z.; Sikora, J.; Wendlocha, D.; Królewska-Daszczyńska, P.; Englisz, A.; Janusz, A.; Janusz, J.; Mielczarek-Palacz, A. The Role of Selected Chemokines in the Peritoneal Fluid of Women with Endometriosis—Participation in the Pathogenesis of the Disease. Processes 2021, 9, 2229. [Google Scholar] [CrossRef]
  40. Fischer, A.; Brodziak-Dopierała, B. The Mercury Concentration in Spice Plants. Processes 2022, 10, 1954. [Google Scholar] [CrossRef]
  41. Tomsia, M.; Cieśla, J.; Pilch-Kowalczyk, J.; Banaszek, P.; Chełmecka, E. Cartilage Tissue in Forensic Science—State of the Art and Future Research Directions. Processes 2022, 10, 2456. [Google Scholar] [CrossRef]
  42. Pavlíčková, M.; Mojžišová, A.; Pócsová, J. Hoshin Kanri Process: A Review and Bibliometric Analysis on the Connection of Theory and Practice. Processes 2022, 10, 1854. [Google Scholar] [CrossRef]
  43. Swaraj, A.N.; Moses, J.A.; Manickam, L. Sustainable Food Upcycling: Perspectives on Manufacturing Challenges and Certification Requirements for Large-Scale Commercialization. Sustain. Food Technol 2025, 3, 648–664. [Google Scholar] [CrossRef]
  44. Bangar, S.P.; Chaudhary, V.; Kajla, P.; Balakrishnan, G.; Phimolsiripol, Y. Strategies for Upcycling Food Waste in the Food Production and Supply Chain. Trends Food Sci. Technol. 2024, 143, 104314. [Google Scholar] [CrossRef]
  45. Chen, B.; Liu, M.; Wang, Q.; Wang, L.; Guo, Q.; Zhou, S. Analysis of industrial solid waste and the possibility of recycling and utilization. Green Chem. Lett. Rev. 2025, 18, 2493155. [Google Scholar] [CrossRef]
  46. Torres-León, C.; Ramírez-Guzman, N.; Londoño-Hernandez, L.; Martinez-Medina, G.A.; Díaz-Herrera, R.; Navarro-Macias, V.; Alvarez-Pérez, O.B.; Picazo, B.; Villarreal-Vázquez, M.; Ascacio-Valdes, J.; et al. Food Waste and Byproducts: An Opportunity to Minimize Malnutrition and Hunger in Developing Countries. Front. Sustain. Food Syst. 2018, 2, 52. [Google Scholar] [CrossRef]
  47. Matviychuk, A.; Zhytkevych, O.; Osadcha, N. Modeling Carbon Dioxide Emissions Reduction. Energy Rep. 2024, 12, 1876–1887. [Google Scholar] [CrossRef]
  48. Zheng, Y.; Shan, R.; Xu, W. Effectiveness of Carbon Dioxide Emission Target is Linked to Country Ambition and Education Level. Commun. Earth Environ. 2024, 5, 209. [Google Scholar] [CrossRef]
  49. Cael, B.B.; Goodwin, P.A. Global Methane Pledge versus Carbon Dioxide Emission Reduction. Environ. Res. Lett. 2023, 18, 104015. [Google Scholar] [CrossRef]
  50. Stechemesser1, A.; Koch, N.; Mark, E.; Dilger, E.; Klösel, P.; Menicacci, L.; Nachtigall, D.; Pretis, F.; Ritter, N.; Schwarz, M.; et al. Climate policies that achieved major emission reductions: Global evidence from two decades. Science 2024, 385, 884–892. [Google Scholar] [CrossRef]
  51. Wilkins, E.J.; Dagan, D.T.; Smith, J.W. Quantifying and Evaluating Strategies to Decrease Carbon Dioxide Emissions Generated from Tourism to Yellowstone National Park. PLoS Clim. 2024, 3, e0000391. [Google Scholar] [CrossRef]
  52. Santos, M.; Nadaleti, W.C.; Przybyla, G. Olive Pomace as a By-Product of Olive Oil Extraction for Biogas and Hydrogen Generation in Brazil. Int. J. Hydrogen Energy 2025, 157, 149880. [Google Scholar] [CrossRef]
  53. Dahman, H.; Kilani, E.B.; Harfi, K.E.; Loubar, K. Efficient Biofuel Production from Olive Pomace and Polyethylene Waste Blend via Pressurized Co-Pyrolysis: Optimization and Characterization. Waste Biomass Valorization 2025, 16, 3715–3731. [Google Scholar] [CrossRef]
  54. Saidi, M.; Inaloo, E.B.; Liu, H.; Zhao, H. Olive Pomace Waste Conversion to Bio-Fuel by Application of Integrated Configuration of Pyrolysis/Hydrodeoxygenation Process. Process Saf. Environ. Prot. 2024, 192, 1271–1281. [Google Scholar] [CrossRef]
  55. Sofia, D.; Girimonte, R. Innovative Powder Reuse Strategy in the Selective Laser Sintering Process Using a Fluidized Bed System. Chem. Eng. Trans. 2025, 117, 1105–1110. [Google Scholar] [CrossRef]
  56. Packiyadhas, P.; Sivaperumal, S.K.; Murugesan, S. A Comprehensive Review of Food Waste: Composition, Current Management, Thermal Treatment, Valorization into Bioproducts and Sustainable Development Goals Linkages. J. Mater. Cycles Waste Manag. 2025, 27, 777–795. [Google Scholar] [CrossRef]
  57. Alengebawy, A.; Ran, Y.; Osman, A.I.; Jin, K.; ·Samer, M.; Ping, A. Anaerobic Digestion of Agricultural Waste for Biogas Production and Sustainable Bioenergy Recovery: A Review. Environ. Chem. Lett. 2024, 22, 2641–2668. [Google Scholar] [CrossRef]
  58. Sakka, S. Optimizing Biogas Production from Household Waste: An Economical Approach to Energy and Environmental Sustainability in Rural Areas. Euro-Mediterr. J. Environ. Integr. 2025, 10, 3205–3215. [Google Scholar] [CrossRef]
  59. Zhou, L.; Elemam, M.A.; Agarwal, R.K.; Shi, W. CFD–DEM Applications. In Discrete Element Method for Multiphase Flows with Biogenic Particles; Springer: Cham, Switzerland, 2024; pp. 115–167. [Google Scholar] [CrossRef]
  60. Zhao, Z.; Zhou, L.; Bai, L.; Wang, B.; Agarwal, R. Recent Advances and Perspectives of CFD–DEM Simulation in Fluidized Bed. Arch. Comput. Methods Eng. 2024, 31, 871–918. [Google Scholar] [CrossRef]
  61. Wang, S.; Shen, Y. CFD-DEM modelling of dense gas-solid reacting flow: Recent advances and challenges. Prog. Energy Combust. Sci. 2025, 109, 101221. [Google Scholar] [CrossRef]
  62. Nguyen, V.B.; Tran, S.B.Q.; Ahmad, S.A.R.; Cheng, K.F.H.; Ahluwalia, K.; Tan, S.H.; Tan, K.H.; Kang, C.W. Optimal Model-Based Control for Automated Robotized Abrasive Blasting System. J. Manuf. Process. 2024, 109, 1–15. [Google Scholar] [CrossRef]
  63. Kılınç, İ.; Budakçı, M.; Korkmaz, M. The Use of Environmentally Friendly Abrasive Blasting Media for Paint Removal from Wood Surfaces. BioResources 2023, 18, 1185–1205. [Google Scholar] [CrossRef]
  64. Fu, W.D.; Fu, H.S.; Wang, C.; Dai, L.; Han, D.S.; Yu, Y.; Wang, Z.; Toledo-Redondo, S.; Hwang, K.J.; Nakamura, R. On the Dipolarization Front and Magnetopause: 3. Evidence of Electron Kelvin–Helmholtz Instability at Dipolarization Front. J. Geophys. Res. Space Phys. 2025, 130, e2025JA034096. [Google Scholar] [CrossRef]
  65. Pei, B.; Zhang, Y.; Hu, W.; Zhang, J.; Huang, N. Effect of the Combined Rayleigh-Taylor/Kelvin-Helmholtz Instability on Turbulent Thermal Stratification. Int. J. Therm. Sci 2025, 211, 109708. [Google Scholar] [CrossRef]
  66. Cao, G.; Sun, G.; Yuan, S.; Wu, Y. Study on the Influence of Spiral Guide Vanes on Gas/Particle Flow Characteristics in FCC Cyclone Separator. Sep. Purif. Technol. 2025, 353 Pt B, 128352. [Google Scholar] [CrossRef]
  67. Wu, L.; Wang, Q.; Li, W.; Tang, M.; An, L. Multi-Scale Modeling of the Multi-Phase Flow in Water Electrolyzers for Green Hydrogen Production. Mater. Rep. Energy 2025, 5, 100356. [Google Scholar] [CrossRef]
  68. Liew, W.M.; Ainirazali, N.; Jusoh, R. Silica-Supported Nickel Based Catalysts for Bio-Alcohol Dry Reforming (2005–2025): A Two-Decade Bibliometric Map and Roadmap to Net-Zero Hydrogen. Int. J. Hydrogen Energy 2025, 166, 150921. [Google Scholar] [CrossRef]
  69. Świrk Da Costa, K.; Summa, P.; Gopakumar, J.; van Valen, Y.; Da Costa, P.; Rønning, M. Excess-Methane CO2 Reforming over Reduced KIT-6-Ni-Y Mesoporous Silicas Monitored by In Situ XAS–XRD. Energy Fuels 2023, 37, 18952–18967. [Google Scholar] [CrossRef]
  70. Eslek Koyuncu, D.D.; Tug, I.; Oktar, N.; Murtezaoglu, K. Hydrogen Production from Formic Acid Using KIT-6 Supported Non-Noble Metal-Based Catalysts. ChemPlusChem 2025, 90, e202400665. [Google Scholar] [CrossRef]
  71. Saad, H.; Guillaud, X.; Mahseredjian, J.; Dennetière, S.; Nguefeu, S. MMC Capacitor Voltage Decoupling and Balancing Controls. IEEE Trans. Power Deliv. 2015, 30, 704–712. [Google Scholar] [CrossRef]
  72. Wang, S.; Heath, T.; Barnes, M.; Preece, R.; Green, P.R. Hardware Measurement of MMC Time Delay and its Impact on the Stability of Grid-Connected MMC-HVDC Systems, Int. J. Electr. Power Energy Syst. 2025, 167, 110605. [Google Scholar] [CrossRef]
  73. Rohbeck, N.; Watroba, M.; Gunderson, C.; Groetsch, A.; Jain, M.; Niemelä, J.P.; Borzi, A.; Utke, I.; Maeder, X.; Neels, A.; et al. Microscale Additively Manufactured 3D Metal-Ceramic Nanocomposites with Improved Strength and Thermal Stability. Addit. Manuf. 2025, 111, 104957. [Google Scholar] [CrossRef]
  74. Przekop, R.E.; Konieczna, R.; Głowacka, J.; Sztorch, B.; Głowacki, M.; Kotecka, B. 3D printing in art: Use of thermoplastics and ceramics—The current state and limitations resulting from the possibilities of technology. Prog. Addit. Manuf. 2025, 10, 5851–5881. [Google Scholar] [CrossRef]
  75. Rathinasuriyan, C.; Chandar, J.B.; Lenin, N.; Puviyarasan, M. Exploring Materials, Technologies, Applications, and Future Outlooks in 4D Printing: A Comprehensive Survey. Prog. Addit. Manuf. 2025, 10, 5883–5901. [Google Scholar] [CrossRef]
  76. Manzoor, H.; Khalid, S.; Zahra, S.; Habib, N.; Khan, A.; Ishaq, F. A Study of Shewhart Control Charts Using Robust Measures. ACADEMIA Int. J. Soc. Sci. 2025, 4, 2957–2980. [Google Scholar] [CrossRef]
  77. Sandeep; Ranjan Mukhopadhyay, A. Evolving Parameters of Shewhart’s X¯ Chart from Present-Day Industrial Engineering Perspective. Commun. Stat.—Theory Methods 2025, 54, 5257–5283. [Google Scholar] [CrossRef]
  78. Tahir, M.; Abdullah, A.; Izura Udzir, N.; Azhar Kasmiran, K. A Systematic Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in Data Mining. Int. J. Comput. Appl. 2025, 47, 169–187. [Google Scholar] [CrossRef]
  79. Hossain, M.A.; Hasan, T.; Karovic, V., Jr.; Abdeljaber, H.A.M.; Haque, A.; Ahmad, S.; Zafar, A.; Nazeer, J.; Mishra, B.K. Deep Learning and Ensemble Methods for Anomaly Detection in ICS Security. Int. J. Inf. Technol. 2025, 17, 1761–1775. [Google Scholar] [CrossRef]
  80. Gonçalves, J.P.; Han, T.; Sant, G.; Neithalath, N.; Huang, J.; Kumar, A. Toward Smart and Sustainable Cement Manufacturing Process: Analysis and Optimization of Cement Clinker Quality Using Thermodynamic and Data-Informed Approaches. Cem. Concr. Compos. 2024, 147, 105436. [Google Scholar] [CrossRef]
  81. Fenta, E.W.; Tsegaye, A.A.; Abere, A.E.; Tsegaye Tefera, G. Opportunities in Flexible Manufacturing Systems in the Near Future. Glob. J. Flex. Syst. Manag. 2025, 26, 247–267. [Google Scholar] [CrossRef]
  82. Bao, N.; Yang, Y.; Fan, Y.; Simeone, A. Optimising Apparel Production in Industry 5.0 Using a Human-Cntric Flexible Manufacturing Approach. Int. J. Adv. Manuf. Technol. 2025, 139, 1881–1895. [Google Scholar] [CrossRef]
  83. Aswathy, M.; Vijayan, A.; Daimary, U.D.; Girisa, S.; Radhakrishnan, K.V.; Kunnumakkara, A.B. Betulinic Acid: A Natural Promising Anticancer Drug, Current Situation, and Future Perspectives. J. Biochem. Mol. Toxicol. 2022, 36, e23206. [Google Scholar] [CrossRef] [PubMed]
  84. Wang, J.; Shi, Y. Recent Updates on Anticancer Activity of Betulin and Betulinic Acid Hybrids (A Review). Russ. J. Gen. Chem. 2023, 93, 610–627. [Google Scholar] [CrossRef]
  85. Wang, K.; Shang, J.; Tao, C.; Huang, M.; Wei, D.; Yang, L.; Yang, J.; Fan, Q.; Ding, Q.; Zhou, M. Advancements in Betulinic Acid-Loaded Nanoformulations for Enhanced Anti-Tumor Therapy. Int. J. Nanomed. 2024, 19, 14075–14103. [Google Scholar] [CrossRef] [PubMed]
  86. Kaur, M.; Sharma, S.; Utreja, D. A Review on Drug Discovery of Phthalimide Analogues as Emerging Pharmacophores: Synthesis and Biological Potential. ChemistrySelect 2025, 10, e202405580. [Google Scholar] [CrossRef]
  87. Fernandes, G.F.S.; Lopes, J.R.; Dos Santos, J.L.; Scarim, C.B. Phthalimide as a versatile pharmacophore scaffold: Unlocking its diverse biological activities. Drug Dev. Res. 2023, 84, 1346–1375. [Google Scholar] [CrossRef]
  88. Benito, J.; Marques, G.; Barro, F.; Gutiérrez, A.; del Río, J.C.; Rencoret, J. Comprehensive Study of Lipophilic Compounds from Various Cereal Straws (Wheat, Triticale, Rye, and Tritordeum)—A Promising Source of Valuable Phytochemicals. J. Agric. Food Chem. 2025, 73, 7282–7297. [Google Scholar] [CrossRef]
  89. Šegan, S.; Mosić, M.; Šukalović, V.; Jevtić, I. Experimental and Computational Analysis of Lipophilicity and Plasma Protein Binding Properties of Potent Tacrine Based Cholinesterase Inhibitors. J. Chromatogr. B 2025, 1253, 124481. [Google Scholar] [CrossRef]
  90. Chimane, P.A.; Adnaik, R.S.; Ghule, S.N. Swiss ADME Prediction of Pharmacokinetics and Drug-Likeness Properties of Secondary Metabolism Present in Buchanania lanzan. J. Curr. Pharma Res. 2025, 21, 1–9. [Google Scholar] [CrossRef]
  91. Nikolić, M.; Jelić, R.; Nedeljković, N.; Vesović, M.; Radić, G.; Ratković, Z.; Mrkalić, E. Analysis of the Lipophilicity and HSA Binding Profile of Biologically Relevant 2-Mercaptobenzoic Acid Derivatives. Chem. Biodivers. 2025, e01231. [Google Scholar] [CrossRef]
  92. Aldhahir, A.M.; Alqarni, A.A.; Alqahtani, J.S.; Siraj, R.; Aldhahri, J.H.; Madkhli, S.A.; Fares, W.M.; Alqurayqiri, A.A.; Alyami, M.; Naser, A.Y.; et al. Spirometry Profiles of Overweight and Obese Individuals With Unexplained Dyspnea. Am. J. Respir. Crit. Care Med. 2025, 211, A1489. [Google Scholar] [CrossRef]
  93. Anand, R.; Thoupikka, M.; Rashmi, M.L.; Joshi, J.; Ananthi, M. Assessment of Pulmonary Function in Treated Pulmonary Tuberculosis Patients Using Spirometry. J. Assoc. Chest Physicians 2025, 13, 51–53. [Google Scholar] [CrossRef]
  94. Helgeson, S.A.; Quicksall, Z.S.; Johnson, P.W.; Lim, K.G.; Carter, R.E.; Lee, A.S. Estimation of Static Lung Volumes and Capacities from Spirometry Using Machine Learning: Algorithm Development and Validation. JMIR AI 2025, 4, e65456. [Google Scholar] [CrossRef] [PubMed]
  95. Sursyakova, V.V.; Rubaylo, A.I. Theoretical Calculation of the Solubility and Other Parameters for Poorly Water-Soluble Compounds from Binding Constants of Inclusion Complexes: The Examples of Betulin Derivatives with Cyclodextrins. J. Solut. Chem. 2025, 54, 850–863. [Google Scholar] [CrossRef]
  96. Rajamohan, R.; Muthuraja, P.; Murugavel, K.; Krishnan Mani, M.; Prabakaran, D.S.; Seo, J.H.; Malik, T.; Lee, Y.R. Significantly Improving the Solubility and Anti-Inflammatory Activity of Fenofibric Acid with Native and Methyl-Substituted Beta-Cyclodextrins via Complexation. Sci. Rep. 2025, 15, 853. [Google Scholar] [CrossRef]
  97. Phung, M.; Muralidharan, V.; Rotemberg, V.; Novoa, R.A.; Chiou, A.S.; Sadée, C.Y.; Rapaport, B.; Yekrang, K.; Bitz, J.; Gevaert, O.; et al. Best Practices for Clinical Skin Image Acquisition in Translational Artificial Intelligence Research. J. Investig. Dermatol. 2023, 143, 1127–1132. [Google Scholar] [CrossRef]
  98. Abdalla, B.M.Z.; Reiter, O.; Godwin, K.; Gallagher, R.; Monnier, J.; dos Reis Zuniga, R.D.; Jain, M. Noninvasive Multimodal Imaging and Its Role in Diagnosing Skin Lesions in Dermatology: A Systematic Review and Meta-Analysis. Am. J. Clin. Dermatol. 2025, 26, 711–722. [Google Scholar] [CrossRef]
  99. Gajjar, A.; Gohel, N.; Lalwani, R.; Bodiwala, K. Instrumental Thin-Layer Chromatography Method for the Simultaneous Estimation of Gabapentin and Nortriptyline Hydrochloride in Tablet Dosage Form. JPC—J. Planar Chromatogr.—Mod. TLC 2025. [Google Scholar] [CrossRef]
  100. Derayea, S.M.; Elhamdy, H.A.; Oraby, M.; El-Din, K.M.B. Simultaneous Measurement of Duloxetine Hydrochloride and Avanafil at Dual-Wavelength Using Novel Ecologically Friendly TLC-Densitometric Method: Application to Synthetic Mixture and Spiked Human Plasma with Evaluation of Greenness and Blueness. BMC Chem. 2024, 18, 92. [Google Scholar] [CrossRef]
  101. El-Kafrawy, D.S.; Abo-Gharam, A.H. Comparative Study of Normal-phase versus Reversed-Phase HPTLC Methods for the Concurrent Quantification of Three Antiviral Agents Against COVID19: Remdesivir, Favipiravir and Molnupiravir: Trichromatic Sustainability Assessment. BMC Chem. 2025, 19, 83. [Google Scholar] [CrossRef]
  102. Al Timimi, Z.; Al-Rubaye, A.F.; Diwan, D.M. A Comprehensive Study of Laser Use in Dermatology: Assessing the Safety, Innovations, and Effectiveness of Laser Technology for Skin Treatment. Ir. J. Med. Sci. 2025, 194, 923–932. [Google Scholar] [CrossRef]
  103. Haider, H.; Maryam, A.; Hussein, R.; Rasha, S.; Mustafa, F.; Zahraa, H.; Muqtada, K.; Zahraa, A.; Ail, A.; Ayat Abd, A.; et al. Transformative Role of Laser Technology in Ophthalmology and Dermatology: A Mini Review of Precision Applications in Modern Medicine. AUIQ Complement. Biol. Syst. 2025, 2, 51–64. [Google Scholar] [CrossRef]
  104. Lin, C.Y.; Lin, Z.C.; Chang, Y.T.; Lin, T.J.; Fang, J.Y. Novel Strategies in Topical Delivery for Psoriasis Treatment: Nanocarriers and Energy-Driven Approaches. Expert Opin. Drug Deliv. 2025, 22, 565–581. [Google Scholar] [CrossRef] [PubMed]
  105. Sivakumar, M.; Muthu, Y.; Elumalai, K. Advancements in Drug Delivery Systems: A Focus on Microsphere-Based Targeted Delivery. Biomed. Mater. Devices 2025, 3, 1030–1057. [Google Scholar] [CrossRef]
  106. Lu, Y.; Essadki-Aittaji, I.; Gao, J.; Abraham, A.M.; Anjani, Q.K.; Cobo-González, A.B.; Domínguez-Robles, J. Implantable and injectable drug delivery systems for pain management. Expert Opin. Drug Deliv. 2025, 1–24. [Google Scholar] [CrossRef]
  107. Guo, S.; Li, H. Chitosan-Derived Nanocarrier Polymers for Drug Delivery and pH-Controlled Release in Type 2 Diabetes Treatment. J. Fluoresc. 2025, 35, 3895–3904. [Google Scholar] [CrossRef]
  108. Pouyan, A.; Ghorbanlo, M.; Eslami, M.; Jahanshahi, M.; Ziaei, E.; Salami, A.; Mokhtari, K.; Shahpasand, K.; Farahani, N.; Meybodi, T.E.; et al. Glioblastoma multiforme: Insights into pathogenesis, key signaling pathways, and therapeutic strategies. Mol. Cancer 2025, 24, 58. [Google Scholar] [CrossRef]
  109. Dhiman, A.; Rana, D.; Benival, D.; Garkhal, K. Comprehensive Insights into Glioblastoma Multiforme: Drug Delivery Challenges and Multimodal Treatment Strategies. Ther. Deliv. 2024, 16, 87–115. [Google Scholar] [CrossRef]
  110. Nikolaienko, O.; Anderson, G.L.; Chlebowski, R.T.; Jung, S.Y.; Harris, H.R.; Knappskog, S.; Lønning, P.E. MGMT Epimutations and Risk of Incident Cancer of the Colon, Glioblastoma Multiforme, and Diffuse Large B Cell Lymphomas. Clin. Epigenet. 2025, 17, 28. [Google Scholar] [CrossRef]
  111. Bahranian, A.; Koshki, M.; Farahmandi, F.; Eftekharian, K.; Hemmati, S.; Sattari, M.; Panahi, G. HOTAIR Expression as a Biomarker in Glioblastoma Multiforme: A Comprehensive Meta-Analysis of Current Evidence. Biomark. Med. 2025, 19, 129–137. [Google Scholar] [CrossRef]
  112. Wu, X.; Yu, X.; Yang, L.; Xie, A.; Su, Y.; Zhang, L.; Gan, X. Global Trends and Emerging Frontiers on Ovarian Endometriosis: A Bibliometric and Visualization Analysis. J. Multidiscip. Healthc. 2025, 18, 3619–3631. [Google Scholar] [CrossRef] [PubMed]
  113. Lu, D.; Yang, Y.; Yu, T. The Impact of Endometriosis on Cardiovascular and Cerebrovascular Diseases: A Mendelian Randomization Study. Women Health 2025, 65, 582–593. [Google Scholar] [CrossRef] [PubMed]
  114. Xu, L.; Jiang, N.; Xiu, X. Knowledge, Attitudes, and Practices of Patients with Endometriosis Regarding Endometriosis Surgery and Postoperative Care in Liaoning Province, China: A Cross-Sectional Analysis. BMC Pregnancy Childbirth 2025, 25, 795. [Google Scholar] [CrossRef] [PubMed]
  115. Tinggi, U.; Farrell, M.; Porter, J.; Mitchell, S.; Jurd, S. Heavy Metal Analysis in Commercial Spices and Herbs by Inductively Coupled Plasma mass spectrometry (ICP-MS) and estimated dietary exposure. J. Environ. Expo. Assess. 2025, 4, 26. [Google Scholar] [CrossRef]
  116. Khan, A.; Khan, A.A.; Samreen, S.; Irfan, M.; · Akhtar, M.S. Assessing the Impact of Chromium (Cr) Stress on the Growth, Yield, and Human Health Risk of Seeds from Black Cumin (Nigella sativa L.) Plants. Biologia 2025, 80, 805–821. [Google Scholar] [CrossRef]
  117. Rasool, S.S.; Abdullah, R.M.; Hamakarim, K.K.; Surchi, B.Q.; Darwesh, D.A. Health Risk Assessment of Heavy Metals in Selected Culinary and Medicinal Herbs: A Case Study of Rose, Thyme, Turmeric, Chamomile, and Fennel. Eurasian J. Sci. Eng. 2025, 11, 70–81. [Google Scholar] [CrossRef]
Figure 1. Geographical contributions to this Special Issue.
Figure 1. Geographical contributions to this Special Issue.
Processes 13 03491 g001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pyka-Pająk, A. Editorial for Special Issue on “10th Anniversary of Processes: Women’s Special Issue Series”. Processes 2025, 13, 3491. https://doi.org/10.3390/pr13113491

AMA Style

Pyka-Pająk A. Editorial for Special Issue on “10th Anniversary of Processes: Women’s Special Issue Series”. Processes. 2025; 13(11):3491. https://doi.org/10.3390/pr13113491

Chicago/Turabian Style

Pyka-Pająk, Alina. 2025. "Editorial for Special Issue on “10th Anniversary of Processes: Women’s Special Issue Series”" Processes 13, no. 11: 3491. https://doi.org/10.3390/pr13113491

APA Style

Pyka-Pająk, A. (2025). Editorial for Special Issue on “10th Anniversary of Processes: Women’s Special Issue Series”. Processes, 13(11), 3491. https://doi.org/10.3390/pr13113491

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop