Simple Summary This review assesses the integration of nanotechnology and immunotherapy, with a specific focus on the utilization of nanomaterials to modulate the immune system in conditions such as cancer and autoimmunity. Liposomes, polymers, and inorganic nanoparticles (NPs) are versatile nanomaterials capable of effectively transporting immunomodulatory molecules. Their interactions with immune cells have contributed to the development of checkpoint inhibitors, improved cancer vaccines, and the optimization of adoptive cell therapies. These approaches enable the fine-tuning of immune responses with minimal adverse effects. Positioned at the forefront of the convergence of nanotechnology and immunology, nanomaterial-based platforms have the potential to revolutionize patient-centered immunotherapy. These systems are used in the transformative era of disease management by prioritizing safety, personalization, and compliance with regulations. Abstract Immunotherapy is a rapidly advancing field of research in the treatment of conditions such as cancer and autoimmunity. Nanomaterials can be designed for immune system manipulation, with precise targeted delivery and improved immunomodulatory efficacy. Here, we elaborate on various strategies using nanomaterials, including liposomes, polymers, and inorganic NPs, and discuss their detailed design intricacies, mechanisms, and applications, including the current regulatory issues. This type of nanomaterial design for targeting specific immune cells or tissues and controlling release kinetics could push current technological frontiers and provide new and innovative solutions for immune-related disorders and diseases without off-target effects. These materials enable targeted interactions with immune cells, thereby enhancing the effectiveness of checkpoint inhibitors, cancer vaccines, and adoptive cell therapies. Moreover, they allow for fine-tuning of immune responses while minimizing side effects. At the intersection of nanotechnology and immunology, nanomaterial-based platforms have immense potential to revolutionize patient-centered immunotherapy and reshape disease management. By prioritizing safety, customization, and compliance with regulatory standards, these systems can make significant contributions to precision medicine, thereby significantly impacting the healthcare landscape.

The design process of motor yachts mainly relies on the experience of designers, who have confidence in the knowledge acquired from designing units with similar hull-form characteristics. However, once a new concept needs to be developed, the acquired experience on a standard platform is no longer sufficient to achieve in a short time a successful design. The design of a motor yacht implies considering multiple aspects of ship hydrodynamics: resistance, propulsion, seakeeping, and manoeuvring. Such factors have been widely discussed individually on different kinds of ships, but an appropriate joint investigation of hulls like motor yachts is missing in the open literature. Therefore, the present paper intends to cover this gap, providing guidelines for the design of motor yachts in a length range between 20 and 40 meters. As a preliminary study, a series of 15 yacht hulls has been developed, starting from a reference hull form. Seakeeping, manoeuvring, and propulsive performances have been evaluated at a reference environmental condition and speeds according to the ISO 22834:2022 guidelines. Such calculations allow for developing response surfaces of the hydrodynamic properties for the series of yachts as a function of the hull's main dimensions. As a final result, the obtained responses allow for identifying the best compromise solutions for the main dimension selection of a new motor yacht in the length range of 20-40 meters.

Adhesive bonding has proven to be a reliable method of joining materials, and the development of new adhesives has made it possible to use bonding in a variety of applications. This article addresses the challenges of bonding metals such as the aluminum alloy EN AW-5754 and the stainless steel X5CrNi18-10. In this study, the effects of laser cleaning and texturing on the surface properties and strength of two bonded joints were investigated and compared with mechanical preparation (hand sanding with Scotch-Brite and P180 sandpaper). The bonded joints were tested with three different epoxy adhesives. During the tests, the adhesion properties of the bonded surface were determined by measuring the contact angle and assessing the wettability, the surface roughness parameters for the different surface preparations, and the mechanical properties (tensile lap-shear strength). Based on the strength test results, it was found that bonded joints made of stainless steel had 16% to 40% higher strength than aluminum alloys when using the same adhesive and surface preparation. Laser cleaning resulted in maximum shear strength of the aluminum alloy bond, while the most suitable surface preparation for both materials was preparation with P180 sandpaper for all adhesives.

Introduction: Falls in the elderly population are one of the main geriatric syndromes and a clear indicator of the fragility of the elderly population. Falls are a leading cause of death and injury in the elderly, resulting in disability and immobility requiring ongoing medical care and high treatment costs. Difficulties in performing daily life activities increase with age due to decline in physical and cognitive functioning. Research objectives: To assess the ability to perform daily life activities, to analyze the risks of falling in elderly people. Methods: 100 people over the age of 65 participated in the research. The research instruments were a questionnaire for the assessment of daily life activities - Barthel Scale / Index (BI) and a questionnaire on screening assessments for the evaluation of falls. Results: The Barthel index shows that the majority of respondents perform daily life activities without problems. Intrinsic factors prove that the median score was 12 with an interquartile range of 7 to 15, which represents the risk of falls in people of the third age. Extrinsic risk factors for falls in people of the third age indicate a median of 4 with an interquartile range of 2 to 5, which represents the risk for falls in older people. The most influential risk factors for falling in our survey are difficulty walking upstairs, incorrect or insufficient use of orthopedic aids, feeling of instability when standing up for the first time, complaining of weakness or reduced sensation in one or the other leg, feeling of low self-confidence, instability when walking and fear from falling. Conclusion: Analyzing the risk factors for a fall, we obtained the result that there is an evident risk for a fall. Based on the estimated risk of falling, the most influential risk factors that affect the performance of daily life activities of elderly people were singled out.

Hand grip strength, the force hand muscles apply to grasp an object, provides insight into musculoskeletal health and functional abilities and is essential for numerous everyday tasks. This paper examines the relationship between hand grip strength and general health fitness. Sixty male students of the Faculty of Economics in Osijek participated in this research, where thirty-eight were actively engaged in physical activity, while twenty-two students did not practice any of the physical activities in their free time. The Saehan DHD-1 dynamometer was used to measure hand grip strength, while information on the participants' physical activity was checked with a questionnaire. The results indicate a strong correlation between the grip strength of the dominant and non-dominant hand and a statistically significant difference in the grip strength of the dominant and non-dominant hand. However, no statistically significant difference was observed in hand grip strength considering physical activity. Although this study failed to confirm a statistically significant difference in handgrip strength considering physical activity, further research is needed to examine this association, and it could potentially provide a deeper understanding of the importance of handgrip strength in everyday life.

This study aimed to develop a rapid method for separation of stigmasterol, campesterol and β-sitosterol in Prunus spinosa L. (sloe) fruit extracts by High Performance Liquid Chromatography system. Samples were prepared by Soxhlet extraction method and separated on a high strength silica C18 column using acetonitrile-methanol mobile phase and Photodiode Array Detector. The optimized method resulted in a linear calibration curve ranging from 1.7 ng mL-1 to 130 ng mL-1 for all three phytosterols. Analyses of internal and external phytosterol standards showed good linearity (R2 of 0.998 to 0.999); LOD and LOQ were determined to be 2.33×10-7-2.18×10-4 and 7.07×10-7-6.60×10-4 mg mL-1, respectively. Repeatability and reproducibility precision analyses showed acceptable values of RSD %. β-sitosterol was the predominant phytosterol (51.53-81.03 % of total) among all samples. Method validation parameters indicated that this analytical method can be applied for accurate and precise determination of campesterol, stigmasterol and β-sitosterol, in selected extracts.

Chlorogenic acid is one of the most prominent bioactive phenolic acids with great pharmacological, cosmetic and nutritional value. The potential of Berula erecta in tissue culture was investigated for the production of chlorogenic acid and its elicitation combined with light of different wavelengths and low temperature. The content of chlorogenic acid in the samples was determined by HPLC-UV, while the content of total phenolic compounds and the antioxidant activity of their ethanol extracts were evaluated spectrophotometrically. The highest fresh and dry biomasses were obtained in plants grown at 23 °C. This is the first study in which chlorogenic acid has been identified and quantified in Berula erecta. The highest chlorogenic acid content was 4.049 mg/g DW. It was determined in a culture grown for 28 days after the beginning of the experiment at 12 °C and under blue light. The latter also contained the highest content of total phenolic compounds, and its extracts showed the highest antioxidant activity. Berula erecta could, potentially, be suitable for the in vitro production of chlorogenic acid, although many other studies should be conducted before implementation on an industrial scale.

The principal challenge addressed in this paper is modifying the standard particle swarm optimization algorithm to achieve improved multilevel image thresholding performance. In this paper, a multilevel image thresholding method that relies on Kapur's entropy and the improved particle swarm optimization algorithm is presented. The improved particle swarm optimization algorithm employs a particular nonlinearly decreasing inertia weight strategy and Gaussian mutation. The performance of the considered multilevel image thresholding method is assessed on five test images. The experimental results demonstrate the successful utilization of the improved particle swarm optimization algorithm for determining image thresholds across different images. This algorithm is shown to enhance the multilevel image thresholding performance over the standard particle swarm optimization algorithm.

Multilevel image thresholding based on the exhaustive search for the optimal thresholds is computationally expensive. To overcome this drawback this paper investigates the use of the particle swarm optimization (PSO) algorithms with time-varying acceleration coefficients in multilevel image thresholding. Specifically, two multilevel image thresholding methods based on Kapur's entropy and PSO algorithm with time-varying acceleration coefficients are considered. The two methods use different strategies to vary cognitive and social acceleration coefficients within the PSO algorithm. The considered thresholding methods are assessed on five test images. The multilevel image thresholding performance is assessed for varying numbers of thresholds. The performance of the methods under consideration is compared to that of the thresholding method based on the PSO algorithm with constant acceleration coefficients. The experimental results show that the thresholding methods based on the PSO algorithm with time-varying acceleration coefficients can be successfully used to obtain image thresholds across different test images.

We propose a new variant of the Adam optimizer called MicroAdam that specifically minimizes memory overheads, while maintaining theoretical convergence guarantees. We achieve this by compressing the gradient information before it is fed into the optimizer state, thereby reducing its memory footprint significantly. We control the resulting compression error via a novel instance of the classical \emph{error feedback} mechanism from distributed optimization in which *the error correction information is itself compressed* to allow for practical memory gains. We prove that the resulting approach maintains theoretical convergence guarantees competitive to those of AMSGrad, while providing good practical performance. Specifically, we show that MicroAdam can be implemented efficiently on GPUs: on both million-scale (BERT) and billion-scale (LLaMA) models, MicroAdam provides practical convergence competitive to that of the uncompressed Adam baseline, with lower memory usage and similar running time. Our code is available at https://github.com/IST-DASLab/MicroAdam.

Background/Objectives: Due to their high frequency, common risk factors, and similar pathogenic mechanisms, musculoskeletal disorders (MSDs) are more likely to occur with other chronic illnesses, making them a “component disorder“ of multimorbidity. Our objective was to assess the prevalence of multimorbidity and to identify the most common clusters of diagnosis within multimorbidity states, with the primary hypothesis that the most common clusters of multimorbidity are MSDs. Methods: The current study employed data from a population-based 2019 European Health Interview Survey (EHIS). Multimorbidity was defined as a ≥2 diagnosis from the list of 17 chronic non-communicable diseases, and to define clusters, the statistical method of hierarchical cluster analysis (HCA) was performed. Results: Out of 13,178 respondents, multimorbidity was present among 4398 (33.4%). The HCA method yielded six multimorbidity clusters representing the most common diagnoses. The primary multimorbidity cluster, which was prevalent among both genders, age groups, incomes per capita, and statistical regions, consisted of three diagnoses: (1) lower spine deformity or other chronic back problem (back pain), (2) cervical deformity or other chronic problem with the cervical spine, and (3) osteoarthritis. Conclusions: Given the influence of musculoskeletal disorders on multimorbidity, it is imperative to implement appropriate measures to assist patients in relieving the physical discomfort and pain they endure. Public health information, programs, and campaigns should be utilized to promote a healthy lifestyle. Policymakers should prioritize the prevention of MSDs by encouraging increased physical activity and a healthy diet, as well as focusing on improving functional abilities.

The expansion of the open-pit exploitation of mineral raw materials, and especially the energy resources of fossil fuels, makes open-pit coal mines spatially dominant objects of large mining basins. Exploitation activities are accompanied by negative ecological impacts on the environment, which requires the integral planning, revitalization, reclamation, and rehabilitation of the disturbed area for human use in the post-exploitation period. The post-exploitation remediation and rehabilitation of open-pit mining areas and disposal sites, i.e., space disturbed by mining activities and accompanying facilities, are complex synthetic multidisciplinary multiphase engineering project tasks. In this paper, a hybrid fuzzy MCDM model (Multiple-Criteria Decision-Making) was developed for the selection of a reclamation solution for the Tamnava-West Field open-pit mine. IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) was applied to define the weights of 12 criteria of different structures used in the evaluation of reclamation solutions. The Fuzzy ROV (Range of Value) method was applied to select the reclamation solution from a total of 11 solutions previously obtained using a process approach. The results of the hybrid IMF SWARA—Fuzzy ROV model show that forestry is the best solution for the Tamnava-West Field open-pit mine. After the results had been obtained, verification analyses of the proposed model were performed and the best stable proposed reclamation solution was determined.

Background: The primary goal of this study was to investigate the relationship between body composition and motor coordination performance, and the secondary goal was to determine sex differences in body composition and motor coordination of preschool children. Methods: Forty-eight children (23 boys and 25 girls) underwent assessments for body composition and motor coordination using the Köperkoordinationstest für Kinder (KTK). Results: Linear regression analysis revealed significant associations between body composition and motor coordination in boys (p < 0.05) but not in girls. In boys, Body height (p = 0.01), Total muscle mass (p = 0.03), Total fat (p = 0.03), and Total water (p = 0.02) show statistically significant influence on single-leg jumps. Similar results were obtained for lateral jumps where there was a statistically significant influence of Body height (p = 0.01), Total muscle mass (p = 0.03), and Total water (p = 0.02). Interestingly, predictive variables showed no statistically significant influence on KTK overall score in boys (p = 0.42) nor in girls (p = 0.90). Conclusions: The predictive system of morphological variables demonstrated significance only among boys in this age group and sample. Girls outperformed boys due to early maturation, resulting in better average KTK scores.

BACKGROUND: Left atrial stiffness index (LASI), defined as the ratio of early diastolic transmitral flow velocity/lateral mitral annulus myocardial velocity (E/e’) to peak atrial strain, reflects reduced left atrial (LA) compliance and represents an emerging marker that can be used for noninvasive measurement of fibrosis of LA in patients with mitral regurgitation (MR). OBJECTIVE: To investigate the impact of chronic MR in children and adolescents on the remodeling and function of the LA, quantified through strain parameters and diastolic function. METHODS: The study included fifty patients ( n = 50) diagnosed with primary and secondary chronic MR lasting at least 5 years. The echocardiographic recordings were performed by a third party, two cardiologists actively engaged in echocardiography on a daily basis. RESULTS: Older participants had higher values of the LASI ( r = 0.467, p = 0.001). Participants with higher LASI values had a smaller LA reservoir ( r = 0.784, p = 0.0001) and smaller LA conduit values ( r = - 0.374, p = 0.00). Participants with higher LASI values had a larger LA diameter ( r = 0.444, p -value= 0.001) and higher average E/e’ ratio ( r = 0.718, p = 0.0001). There was a significant difference ( p = 0.04) in the LASI among participants based on the MR jet area ( < 20.85% ⩾ 20.85%), LASI was higher in participants with an area greater than 20.85%. Differences in other parameters such as LA reservoir, LA conduit, LA contractile were not statistically significant. CONCLUSION: Increased LA stiffness is associated with diminished atrial compliance and reservoir capacity, and LASI has a potential to as an early marker for assessing disease severity and progression in pediatric MR.

To bring robots into human everyday life, their capacity for social interaction must increase. One way for robots to acquire social skills is by assigning them the concept of identity. This research focuses on the concept of \textit{Explanation Identity} within the broader context of robots' roles in society, particularly their ability to interact socially and explain decisions. Explanation Identity refers to the combination of characteristics and approaches robots use to justify their actions to humans. Drawing from different technical and social disciplines, we introduce Explanation Identity as a multidisciplinary concept and discuss its importance in Human-Robot Interaction. Our theoretical framework highlights the necessity for robots to adapt their explanations to the user's context, demonstrating empathy and ethical integrity. This research emphasizes the dynamic nature of robot identity and guides the integration of explanation capabilities in social robots, aiming to improve user engagement and acceptance.