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Publications - 6374

Next-generation bacteriophage therapeutic systems: CRISPR-based engineering, near-infrared bioimaging, and precision strategies for treating multidrug-resistant and extensively drug-resistant bacterial infections

U. Saeed Z. Z. Piracha

Publication Name: Frontiers in Microbiology

Publication Date: 2026-01-01

Volume: 17

Issue: Unknown

Page Range: Unknown

Description:

The rapid rise of multidrug-resistant and extensively drug-resistant bacterial infections has renewed interest in bacteriophages as adaptable, targeted antimicrobials. Recent advances in phage engineering, including CRISPR-based approaches, now make it possible to refine host range, strengthen lytic performance, and deliver genetic payloads that target clinically important resistance determinants such as blaNDM, mecA, and mcr-1. In parallel, jumbo phages with large genomes often encode additional functions that support replication and biofilm disruption, offering practical advantages in densely structured infections where antibiotics perform poorly. A second limitation in phage translation has been measurement: in most settings, dosing and treatment duration remain guided by indirect endpoints rather than real-time information on distribution and activity. Near-infrared bioimaging addresses this gap by enabling noninvasive tracking of infection burden and phage kinetics in vivo through bacteriophytochrome-derived reporters, including iRFPs, miRFPs, and PAiRFPs. In this review, we bring these developments together and discuss how CRISPR-enabled phage engineering, jumbo-phage biology, and near-infrared readouts can be integrated into a precision framework that is measurable, adaptable, and clinically interpretable. We examine evidence across major drug-resistant pathogens, including Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, Burkholderia cepacia, and Mycobacterium abscessus. We also summarize practical constraints that remain central to clinical translation, manufacturing quality, host immune neutralization, and regulatory variability, and outline a realistic development pathway in which engineered phages and companion diagnostics progress from animal models to carefully defined clinical indications. Together, these advances support a shift from empirical phage use toward a more standardized, data-driven approach to treating drug-resistant infections.

Open Access: Yes

DOI: 10.3389/fmicb.2026.1748742

Linguistic Linear Diophantine Fuzzy Sugeno Border Approximation Area Comparison: Application in Green Supply Chain Management

Dragan Pamucar Zeeshan Ali

Publication Name: Journal of Fuzzy Extension and Applications

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: 225-246

Description:

The Linguistic generalzied Fuzzy Set (FS) is more efficient and effective for depicting awkward and uncertain data compared to existing models. In this manuscript, we describe the Sugeno-Weber laws for linguistic generalzied fuzzy information. Because these operational laws will help us in the construction of the “power aggregation operators” for linguistic Linear Diophantine Fuzzy Sets (LDFSs), called “Power Averaging (PA) operator”, “Power Weighted Averaging (PWA)”, “Power Geometric (PG)”, and “Power Weighted Geometric (PWG)” for linguistic linear Diophantine fuzzy values. These models can help us aggregate the collection of data into a singleton set very easily. Additionally, we investigate the model of the multi-attributive border approximation area comparison technique for derived operators to enhance the effectiveness of the proposed theory. The problem of supply management is used for the integration of environmentally friendly procedures into supply chain management techniques, where the model of sustainable sourcing, eco-design, waste management, energy efficiency, transportation, and collaboration are the major parts of the considered theory. For this, we illustrate some numerical problems for evaluating the problem of supply chain theory by using the proposed models. Finally, we deliberate on the power and strength of the suggested models by comparing the value of the proposed and existing models.

Open Access: Yes

DOI: 10.22105/jfea.2025.498172.1754

Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics

Miklós F. Hatwágner Adrienn Buruzs Laszlo T. Koczy

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 141-147

Description:

This paper outline how Fuzzy Cognitive Maps (FCM) can be applied as a tool in integrated waste management systems. FCM is a soft systems methodology for exploiting and analyzing human perceptions of a given system. During the research, the driving forces and impacts in the changes of waste management systems have been analyzed. Several types of FCM are known, and the authors' intention was to apply the FCM type III to describe the causality relations among the factors of the integrated waste management systems (IWMS).

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020435

Effects of Biostimulant and Zinc (Zn) Treatment on Qualitative and Quantitative Indicators of Winter Rape (Brassica Napus L.)

Renato Kalocsai Zoltán Molnár Viktor Nagy Lajos Kubina Bálint Süle Viktor Nagy Zsolt Giczi

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 769-774

Description:

Winter rapeseed production has completely changed in Hungary in recent years. The use of hybrids has become commonplace, and intensive cultivation techniques are widespread. At the same time, average yields also increased, making rapeseed one of the most profitable crops. Maintaining profitability is a priority task, and in addition to further increasing average yields, improving quality parameters and crop safety is also decisive. Rapeseed production today faces significant challenges. As a result of climate change, the cultivation routine of decades is changing, and biostimulators are becoming more and more perspective in addition to foliar fertilisation with macro- and microelements. During this research, a 3-year small-plot field experiment was set up with a winter rapeseed indicator. The main objective of the experiment was to study the physiological reactions of rape plants to different doses of Zn and the combined reaction of the biostimulator and Zn. During the experiment, the reaction of the rapeseed test plant on zinc-deficient calcareous chernozem soils was investigated under the influence of different doses of Zn and combined doses of Zn and biostimulation. The aim of the study is to determine whether rapeseed plants respond to zinc supplementation and the combined effect of the bio stimulator and zinc with increased yield and improved nutritional values (protein content, oil content). In the first annual study, two treatments were performed, one in autumn (BBCH 16-18 phenological stage) and one in spring (BBCH 29 phenological stage). Zinc tetramine hydroxide was used in 4 different doses (2, 5, 10, 20 L/ha), zinc tetramine hydroxide enriched with copper in 2 different doses (5 and 10 L/ha), Quantis in the manufacturer's prescribed dose of 2 L/ha, biostimulant enriched with zinc, and a usual foliar fertiliser used in rapeseed growing with Wuxal boron at the dose recommended by the manufacturer. During the growing season, the development of root mass, root length, SPAD values, as well as the yield and oleic acid content were evaluated by mathematical statistical method. It can be stated that there was no significant difference in the root mass, root length, and SPAD values, but there was a significant yield difference in the amount of the crop in the second-year experiment (P = 10 %). Studies have shown that biostimulants have the greatest influence on the development of measured parameters.

Open Access: Yes

DOI: 10.3303/CET24114129

A Sustainable Approach for Reversing the Structural Design Process of Steel Structures: From the Traditional Minimum-Weight Approach to the Cutting Losses Minimization

Marco Domaneschi Roberta Di Bari Majid Movahedi Rad Raffaele Cucuzza Giuseppe Carlo Marano

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 446-454

Description:

In this research, a Genetic Algorithm (GA) has been developed and the well-known one-dimensional bin packing problem (BPP) has been implemented within the structural optimization process. The Objective Function formulation lies in a marked change of the paradigm in which the target function is represented by the amount of steel required by the factory instead of the structural cost (e.g. weight). The best design is obtained by varying the geometry properties of the members and the cross-section assignation ensuring optimal stock of existing elements. Finally, the structural cost and the Carbon emission are calculated for a spatial reticular dome. The mass of the waste with respect to the mass of the stock, Mwaste/Mstock, is evaluated by adopting both the cutting Stock approach and the traditional approach. The former leads to a waste saving that is almost twice that obtained from the latter. However, no significant differences in terms of carbon emission can be observed by comparing the two approaches.

Open Access: Yes

DOI: 10.3233/ATDE240578

Using Fuzzy Cognitive Map approach to model the casual relationships in stakeholder management at companies

Miklós F. Hatwágner Dalia Susniene Adrienn Buruzs András Torma Laszlo T. Koczy

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 121-124

Description:

The aim of this paper is to investigate the operation of a Stakeholder Relationship Management System (SRMS) as a method for business management and project support by fuzzy approach. The criteria defined in connection with the SRMS will be modelled by using the Fuzzy Cognitive Map (FCM) approach in order to define the causality and weights of interconnections between the factors and to support decision making in that way.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020431

CRUSHED STONE SUPPLY CHALLENGES FOR INFRASTRUCTURE DEVELOPMENT IN HUNGARY

Szabolcs Fischer K. Kozma R. Tompa Laszlo Ezsias

Publication Name: Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu

Publication Date: 2024-01-01

Volume: Unknown

Issue: 6

Page Range: 28-37

Description:

The rapid expansion of Hungary’s infrastructure projects, especially in railway construction, has significantly increased the demand for crushed stone. Both national and EU-funded initiatives have strained supply chains, resulting in logistical challenges and material shortages. With limited domestic production capacity, efficient resource management is crucial to keeping projects on track. This paper evaluates Hungary’s supply chain for crushed stone, identifying key weaknesses and proposing solutions to enhance sustainability. Purpose. This study investigates the logistical and supply chain difficulties in delivering crushed stone for Hungary’s railway infrastructure projects. It evaluates current supply limitations, proposes ways to improve domestic resource management, and offers strategies to reduce reliance on imports while emphasizing sustainability. Methodology. The research applies Geographic Information System (GIS) modeling to analyze transportation routes for crushed stone, suggesting ways to streamline logistics. It examines the production capacities of Hungarian quarries, some producing 15,000–25,000 tons monthly, and assesses the impact of European and Hungarian regulations on material quality and availability. The potential for integrating recycled materials into the supply chain is also explored. Findings. Hungary’s domestic quarries cannot meet the high demand for railway ballast, estimated at 192,000 tons annually, leading to import reliance. GIS modeling shows optimized transportation routes could cut costs and carbon emissions. Incorporating smaller stone fractions and recycled materials could mitigate shortages, with recycled materials potentially comprising 40 % of railway ballast. Originality. By integrating geological, logistical, and regulatory insights, this paper provides novel approaches for addressing Hungary’s crushed stone supply chain challenges. The use of GIS modeling and recycled materials offers innovative solutions for reducing environmental impacts. Practical value. The findings present actionable strategies for improving Hungary’s supply chain efficiency, promoting recycling, and optimizing logistics. These solutions are applicable to Hungary and other regions facing similar infrastructure material supply challenges.

Open Access: Yes

DOI: 10.33271/nvngu/2024-6/028

Effect of PET Bottle Compaction on the Saturation of the Waste Container

Szabolcs Fischer Ádám Titrik Mykola Sysyn Dmytro Kurhan

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2026-01-01

Volume: 54

Issue: 1

Page Range: 62-70

Description:

Engineers and users are being pushed by environmental concerns to maximize efficiency while minimizing ecological damage. Waste collection vehicles require fossil fuels during their collection route, as well as when lifting and emptying the containers, even if the design of separate waste collection islands has focused on the idea of recycling. Even in a computer plan–assisted collection, saturated containers may have low waste density, meaning that a sizable portion of the container becomes unusable due to the shape of the waste. To maximize container utilization, this study will investigate the type and compaction potential of each container. The simulation study will provide an answer to the question of how the density of waste placed in the various containers changes as a result of compressing each bottle. The research and development will optimize not only the saturation of the container but also the number of collection routes; in addition to the economic benefits, the environmental load will be reduced. The frequency of lifting and emptying the container will decrease, resulting in reduced maintenance and repair costs for the vehicle′s lifting system and container. It is a misconception that compaction by hand in one place, throughout the diameter of the PET bottle, is the optimum way to increase the efficiency of waste collection. Based on the tests carried out in this paper, foot diameter compaction at full height is considered to be the most appropriate method after the use of a costly compactor.

Open Access: Yes

DOI: 10.3311/PPtr.40745

Biomechanical effects of maximal footwear on running: a systematic review and network meta-analysis

Yaodong Gu Gusztáv Fekete Minjun Liang Zixiang Gao Wenlong Li Chen Hu Zifan Xia

Publication Name: Footwear Science

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: 83-98

Description:

Running is widely recognised for its substantial health benefits; however, it is frequently associated with lower limb injuries caused by repetitive impact forces. To mitigate such injuries, maximal footwear has been developed; nevertheless, evidence comparing its biomechanical effects with those of other footwear types remains inconclusive. A Bayesian network meta-analysis of 14 studies (222 participants) was conducted, based on systematic searches of PubMed, Web of Science, the Cochrane Library, Scopus, and Embase (from inception to 12 November 2024). Multiple biomechanical parameters were evaluated, including vertical average loading rate, vertical instantaneous loading rate, impact peak, active peak and ankle peak eversion. The results revealed a complex and sometimes contradictory biomechanical profile for maximal footwear. Specifically, maximal footwear resulted in a significantly higher impact peak compared to both conventional and minimal footwear. In contrast, for the vertical average loading rate, it performed significantly better than minimal footwear but showed no significant difference compared to conventional footwear. For other impact metrics, no significant differences were observed. Notably, maximal footwear was associated with a significantly lower ankle peak eversion compared to minimal footwear, suggesting a potential for greater control of ankle motion.

Open Access: Yes

DOI: 10.1080/19424280.2025.2604840