The 2023 MDPI Annual Report has
been released!
 
20 pages, 2199 KiB  
Article
Organ-on-a-Chip: Ubi sumus? Fundamentals and Design Aspects
by Ana Sofia Morais, Maria Mendes, Marta Agostinho Cordeiro, João J. Sousa, Alberto Canelas Pais, Silvia M. Mihăilă and Carla Vitorino
Pharmaceutics 2024, 16(5), 615; https://doi.org/10.3390/pharmaceutics16050615 (registering DOI) - 02 May 2024
Abstract
This review outlines the evolutionary journey from traditional two-dimensional (2D) cell culture to the revolutionary field of organ-on-a-chip technology. Organ-on-a-chip technology integrates microfluidic systems to mimic the complex physiological environments of human organs, surpassing the limitations of conventional 2D cultures. This evolution has [...] Read more.
This review outlines the evolutionary journey from traditional two-dimensional (2D) cell culture to the revolutionary field of organ-on-a-chip technology. Organ-on-a-chip technology integrates microfluidic systems to mimic the complex physiological environments of human organs, surpassing the limitations of conventional 2D cultures. This evolution has opened new possibilities for understanding cell–cell interactions, cellular responses, drug screening, and disease modeling. However, the design and manufacture of microchips significantly influence their functionality, reliability, and applicability to different biomedical applications. Therefore, it is important to carefully consider design parameters, including the number of channels (single, double, or multi-channels), the channel shape, and the biological context. Simultaneously, the selection of appropriate materials compatible with the cells and fabrication methods optimize the chips’ capabilities for specific applications, mitigating some disadvantages associated with these systems. Furthermore, the success of organ-on-a-chip platforms greatly depends on the careful selection and utilization of cell resources. Advances in stem cell technology and tissue engineering have contributed to the availability of diverse cell sources, facilitating the development of more accurate and reliable organ-on-a-chip models. In conclusion, a holistic perspective of in vitro cellular modeling is provided, highlighting the integration of microfluidic technology and meticulous chip design, which play a pivotal role in replicating organ-specific microenvironments. At the same time, the sensible use of cell resources ensures the fidelity and applicability of these innovative platforms in several biomedical applications. Full article
(This article belongs to the Section Pharmaceutical Technology, Manufacturing and Devices)
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35 pages, 5505 KiB  
Review
Ecdysterone and Turkesterone—Compounds with Prominent Potential in Sport and Healthy Nutrition
by Velislava Todorova, Stanislava Ivanova, Dzhevdet Chakarov, Krasimir Kraev and Kalin Ivanov
Nutrients 2024, 16(9), 1382; https://doi.org/10.3390/nu16091382 (registering DOI) - 02 May 2024
Abstract
The naturally occurring compounds ecdysterone and turkesterone, which are present in plants, including Rhaponticum carthamoides Willd. (Iljin), Spinacia oleracea L., Chenopodium quinoa Willd., and Ajuga turkestanica (Regel) Briq, are widely recognized due to their possible advantages for both general health and athletic [...] Read more.
The naturally occurring compounds ecdysterone and turkesterone, which are present in plants, including Rhaponticum carthamoides Willd. (Iljin), Spinacia oleracea L., Chenopodium quinoa Willd., and Ajuga turkestanica (Regel) Briq, are widely recognized due to their possible advantages for both general health and athletic performance. The current review investigates the beneficial biological effects of ecdysterone and turkesterone in nutrition, highlighting their roles not only in enhancing athletic performance but also in the management of various health problems. Plant-based diets, associated with various health benefits and environmental sustainability, often include sources rich in phytoecdysteroids. However, the therapeutic potential of phytoecdysteroid-rich extracts extends beyond sports nutrition, with promising applications in treating chronic fatigue, cardiovascular diseases, and neurodegenerative disorders. Full article
(This article belongs to the Section Sports Nutrition)
20 pages, 474 KiB  
Review
Shaping the Future of Healthcare: Integrating Ecology and Digital Innovation
by Domenico Bevere and Nicola Faccilongo
Sustainability 2024, 16(9), 3835; https://doi.org/10.3390/su16093835 (registering DOI) - 02 May 2024
Abstract
The concept of sustainable healthcare is the subject of an increasingly intense, captivating, forward-looking, yet sometimes still overly theoretical debate. The aim of this contribution is to analyze the current scenarios of ecological and digital transition in the healthcare sector, considering its high [...] Read more.
The concept of sustainable healthcare is the subject of an increasingly intense, captivating, forward-looking, yet sometimes still overly theoretical debate. The aim of this contribution is to analyze the current scenarios of ecological and digital transition in the healthcare sector, considering its high energy consumption. In particular, we adopt a holistic and convergent vision of the energy mix and its infrastructure, moving beyond the ideological dichotomy of energy sources. Renewable sources, digital innovations, and the circular economy are seen as playing key roles in the future of the energy sector. In this research, a mixed methodology was employed, combining a questionnaire consisting of 31 questions with semi-structured interviews conducted with the top management of a major player in the private healthcare sector located in southern Italy in 2023. Consequently, we examine the main macro-guidelines of technological development, encompassing enabling technologies, new business models, roles, and professional skills. Based on the analyses conducted, we provide some insights to inform governmental policies and industrial strategies in the near future. Digitalization represents an opportunity to enhance the efficiency of healthcare services, reducing waste and ensuring quality. For instance, digital healthcare solutions enable personalized care on a global scale and offer decision support systems that can enhance overall healthcare performance. However, to maximize the benefits of digital transformation, it is essential to integrate new technologies effectively and sustainably into the existing healthcare ecosystem. A promising example is telemedicine, which can help reduce carbon emissions by decreasing healthcare workers’ travel. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
10 pages, 555 KiB  
Article
Unveiling the Knee Injury Landscape: A Comprehensive Study of Youth Male Football Players in the Central Region of Saudi Arabia
by Latifah Almansour, Walaa Sayed Mohammad, Walaa Elsais, Asma Alonazi and Danah Alyahya
Appl. Sci. 2024, 14(9), 3895; https://doi.org/10.3390/app14093895 (registering DOI) - 02 May 2024
Abstract
Knee injuries represent a significant health concern for young male football players in Saudi Arabia. Despite global research on football-related injuries, there is a distinct lack of studies focusing on this demographic in the Saudi context. This research aims to fill this gap, [...] Read more.
Knee injuries represent a significant health concern for young male football players in Saudi Arabia. Despite global research on football-related injuries, there is a distinct lack of studies focusing on this demographic in the Saudi context. This research aims to fill this gap, offering insights into injury prevalence and risk factors, thereby contributing to athlete well-being and informing tailored interventions. This study aimed to investigate the prevalence of knee injuries among youth male football players in Saudi Arabia, with a focus on injury patterns, risk factors, and associated factors. A cross-sectional study was conducted, involving 104 male football players who represent five Saudi clubs and are aged 18.82 ± 0.68 years. Injury data, including severity, timing, and mechanisms, were collected. Logistic regression analyses were performed to assess the impact of various factors on the likelihood of knee injuries. The study revealed that 37.5% of participants reported prior knee injuries, predominantly muscle injuries (61.5%) occurring during training. Ligamentous injuries, particularly anterior cruciate ligament injuries, were also notable (25.6%). Logistic regression analyses indicated that factors such as age, weight, height, body mass index, playing position, duration of playing football, and playing surface significantly influenced the odds of sustaining a knee injury. This study provides insights into the prevalence and patterns of knee injuries among youth male football players in the central region of Saudi Arabia. Muscle injuries are common. Factors such as age, weight, and playing position contribute to the risk of knee injuries. The findings underscore the need for targeted injury prevention strategies and player education programs. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
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15 pages, 12574 KiB  
Article
Electrochemical and Mechanical Properties of Hexagonal Titanium Dioxide Nanotubes Formed by Sonoelectrochemical Anodization
by Katarzyna Arkusz, Aleksandra Jędrzejewska, Piotr Siwak and Mieczysław Jurczyk
Materials 2024, 17(9), 2138; https://doi.org/10.3390/ma17092138 (registering DOI) - 02 May 2024
Abstract
This study aimed to investigate the fabrication and characterization of hexagonal titanium dioxide nanotubes (hTNTs) compared to compact TiO2 layers, focusing on their structural, electrochemical, corrosion, and mechanical properties. The fabrication process involved the sonoelectrochemical anodization of titanium foil in various electrolytes [...] Read more.
This study aimed to investigate the fabrication and characterization of hexagonal titanium dioxide nanotubes (hTNTs) compared to compact TiO2 layers, focusing on their structural, electrochemical, corrosion, and mechanical properties. The fabrication process involved the sonoelectrochemical anodization of titanium foil in various electrolytes to obtain titanium oxide layers with different morphologies. Scanning electron microscopy revealed the formation of well-ordered hexagonal TNTs with diagonals in the range of 30–95 nm and heights in the range of 3500–4000 nm (35,000–40,000 Å). The electrochemical measurements performed in 3.5% NaCl and Ringer’s solution confirmed a more positive open-circuit potential, a lower impedance, a higher electrical conductivity, and a higher corrosion rate of hTNTs compared to the compact TiO2. The data revealed a major drop in the impedance modulus of hTNTs, with a diagonal of 46 ± 8 nm by 97% in 3.5% NaCl and 96% in Ringer’s solution compared to the compact TiO2. Nanoindentation tests revealed that the mechanical properties of the hTNTs were influenced by their diagonal size, with decreasing hardness and Young’s modulus observed with an increasing diagonal size of the hTNTs, accompanied by increased plastic deformation. Overall, these findings suggest that hTNTs exhibit promising structural and electrochemical properties, making them potential candidates for various applications, including biosensor platforms. Full article
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15 pages, 1255 KiB  
Article
Selection of Appropriate Criteria for Optimization of Ventilation Element for Protective Clothing Using a Numerical Approach
by Sanjay Rajni Vejanand, Alexander Janushevskis and Ivo Vaicis
Computation 2024, 12(5), 90; https://doi.org/10.3390/computation12050090 (registering DOI) - 02 May 2024
Abstract
While there are multiple methods to ventilate protective clothing, there is still room for improvement. In our research, we are using ventilation elements that are positioned at the ventilation holes in the air space between the body and clothing. These ventilation elements allow [...] Read more.
While there are multiple methods to ventilate protective clothing, there is still room for improvement. In our research, we are using ventilation elements that are positioned at the ventilation holes in the air space between the body and clothing. These ventilation elements allow air to flow freely while preventing sun radiation, rain drops, and insects from directly accessing the body. Therefore, the shape of the ventilation element is crucial. This led us to study the shape optimization of ventilation elements through the utilization of metamodels and numerical approaches. In order to accomplish the objective, it is crucial to thoroughly evaluate and choose suitable criteria for the optimization process. We know from prior research that the toroidal cut-out shape element provides better results. In a previous study, we optimized the shape of this element based on the minimum pressure difference as a criterion. In this study, we are using different criteria for the shape optimization of ventilation elements to determine which are most effective. This study involves a metamodeling strategy that utilizes local and global approximations with different order polynomials, as well as Kriging approximations, for the purpose of optimizing the geometry of ventilation elements. The goal was achieved by a sequential process. (1) Planning the position of control points of Non-Uniform Rational B-Splines (NURBS) in order to generate elements with a smooth shape. (2) Constructing geometric CAD models based on the design of experiments. (3) Compute detailed model solutions using SolidWorks Flow Simulation. (4) Developing metamodels for responses using computer experiments. (5) Optimization of element shape using metamodels. The procedure is repeated for six criteria, and subsequently, the results are compared to determine the most efficient criteria for optimizing the design of the ventilation element. Full article
(This article belongs to the Section Computational Engineering)
18 pages, 15686 KiB  
Article
From Point Cloud to BIM: A New Method Based on Efficient Point Cloud Simplification by Geometric Feature Analysis and Building Parametric Objects in Rhinoceros/Grasshopper Software
by Massimiliano Pepe, Alfredo Restuccia Garofalo, Domenica Costantino, Federica Francesca Tana, Donato Palumbo, Vincenzo Saverio Alfio and Enrico Spacone
Remote Sens. 2024, 16(9), 1630; https://doi.org/10.3390/rs16091630 (registering DOI) - 02 May 2024
Abstract
The aim of the paper is to identify an efficient method for transforming the point cloud into parametric objects in the fields of architecture, engineering and construction by four main steps: 3D survey of the structure under investigation, generation of a new point [...] Read more.
The aim of the paper is to identify an efficient method for transforming the point cloud into parametric objects in the fields of architecture, engineering and construction by four main steps: 3D survey of the structure under investigation, generation of a new point cloud based on feature extraction and identification of suitable threshold values, geometry reconstruction by semi-automatic process performed in Rhinoceros/Grasshopper and BIM implementation. The developed method made it possible to quickly obtain geometries that were very realistic to the original ones as shown in the case study described in the paper. In particular, the application of ShrinkWrap algorithm on the simplify point cloud allowed us to obtain a polygonal mesh model without errors such as holes, non-manifold surfaces, compenetrating surfaces, etc. Full article
(This article belongs to the Special Issue Remote Sensing in Geomatics)
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15 pages, 3011 KiB  
Article
Recovery of Elemental Arsenic from Acidic As-Containing Wastewater by a Hypophosphite Reduction Process
by Qian Li, Shiyu Zhao, Yan Zhang, Yong Li, Xiaoliang Liu and Yongbin Yang
Water 2024, 16(9), 1301; https://doi.org/10.3390/w16091301 (registering DOI) - 02 May 2024
Abstract
Biological oxidation is a low-carbon technology for the treatment of As-containing gold ores, but it causes a large amount of acidic As-containing wastewater that is harmful to the environment. This paper proposed a novel, eco-friendly method to treat this wastewater. Thermodynamic analysis, H [...] Read more.
Biological oxidation is a low-carbon technology for the treatment of As-containing gold ores, but it causes a large amount of acidic As-containing wastewater that is harmful to the environment. This paper proposed a novel, eco-friendly method to treat this wastewater. Thermodynamic analysis, H2PO2 reduction, and wastewater recycling tests were conducted. Thermodynamic analysis indicates the feasibility of the reduction of As(V)/As(III) by H2PO2 or H3PO2 to As0 under acidic conditions. Experimental results confirmed the thermodynamic prediction and showed that H2PO2 could efficiently convert the As (i.e., As(V)/As(III)) in the wastewater to high value-added As0. Under the optimal conditions, 99.61% of As precipitated out, and the obtained As0 had a high purity of 98.5%. Kinetic results showed that the reaction order of H2PO2 concentration was 0.6399, and the activation energy of the H2PO2 reduction process was 34.33 kJ/mol, which is indicative of a mixed-controlled process (20–40 kJ/mol). Wastewater recycling results showed that after recovering As, the wastewater could be reused as a bacterial culture medium. Based on the thermodynamic analysis and experimental and analytical results, hypophosphite reduction mechanisms for removing and recovering As from its acidic wastewater were proposed. The results presented in this paper suggest the feasibility of this one-step H2PO2 reduction approach, which may be promising in treating acidic As-containing wastewater. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
22 pages, 931 KiB  
Article
A Hybrid MCDM Approach Using the BWM and the TOPSIS for a Financial Performance-Based Evaluation of Saudi Stocks
by Abdulrahman T. Alsanousi, Ammar Y. Alqahtani, Anas A. Makki and Majed A. Baghdadi
Information 2024, 15(5), 258; https://doi.org/10.3390/info15050258 (registering DOI) - 02 May 2024
Abstract
This study presents a hybrid multicriteria decision-making approach for evaluating stocks in the Saudi Stock Market. The objective is to provide investors and stakeholders with a robust evaluation methodology to inform their investment decisions. With a market value of USD 2.89 trillion dollars [...] Read more.
This study presents a hybrid multicriteria decision-making approach for evaluating stocks in the Saudi Stock Market. The objective is to provide investors and stakeholders with a robust evaluation methodology to inform their investment decisions. With a market value of USD 2.89 trillion dollars in September 2022, the Saudi Stock Market is of significant importance for the country’s economy. However, navigating the complexities of stock market performance poses investment challenges. This study employs the best–worst method and the technique for order preference by similarity to identify an ideal solution to address these challenges. Utilizing data from the Saudi Stock Market (Tadawul), this study evaluates stock performance based on financial criteria, including return on equity, return on assets, net profit margin, and asset turnover. The findings reveal valuable insights, particularly in the banking sector, which exhibited the highest net profit margin ratios among sectors. The hybrid multicriteria decision-making-based approach enhances investment decisions. This research provides a foundation for future investigations, facilitating a deeper exploration and analysis of additional aspects of the Saudi Stock Market’s performance. The developed methodology and findings have implications for investors and stakeholders, aiding their investment decisions and maximizing returns. Full article
(This article belongs to the Special Issue New Applications in Multiple Criteria Decision Analysis II)
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21 pages, 1088 KiB  
Article
The Case of Renewable Methane by and with Green Hydrogen as the Storage and Transport Medium for Intermittent Wind and Solar PV Energy
by John G. Ingersoll
Hydrogen 2024, 5(2), 209-229; https://doi.org/10.3390/hydrogen5020013 (registering DOI) - 02 May 2024
Abstract
Long-duration energy storage is the key challenge facing renewable energy transition in the future of well over 50% and up to 75% of primary energy supply with intermittent solar and wind electricity, while up to 25% would come from biomass, which requires traditional [...] Read more.
Long-duration energy storage is the key challenge facing renewable energy transition in the future of well over 50% and up to 75% of primary energy supply with intermittent solar and wind electricity, while up to 25% would come from biomass, which requires traditional type storage. To this end, chemical energy storage at grid scale in the form of fuel appears to be the ideal option for wind and solar power. Renewable hydrogen is a much-considered fuel along with ammonia. However, these fuels are not only difficult to transport over long distances, but they would also require totally new and prohibitively expensive infrastructure. On the other hand, the existing natural gas pipeline infrastructure in developed economies can not only transmit a mixture of methane with up to 20% hydrogen without modification, but it also has more than adequate long-duration storage capacity. This is confirmed by analyzing the energy economies of the USA and Germany, both possessing well-developed natural gas transmission and storage systems. It is envisioned that renewable methane will be produced via well-established biological and/or chemical processes reacting green hydrogen with carbon dioxide, the latter to be separated ideally from biogas generated via the biological conversion of biomass to biomethane. At the point of utilization of the methane to generate power and a variety of chemicals, the released carbon dioxide would be also sequestered. An essentially net zero carbon energy system would be then become operational. The current conversion efficiency of power to hydrogen/methane to power on the order of 40% would limit the penetration of wind and solar power. Conversion efficiencies of over 75% can be attained with the on-going commercialization of solid oxide electrolysis and fuel cells for up to 75% penetration of intermittent renewable power. The proposed hydrogen/methane system would then be widely adopted because it is practical, affordable, and sustainable. Full article
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24 pages, 6221 KiB  
Article
Assessing the Impact of Genotype-Specific Caprifig Fruit Storage on the Pollination Efficacy and Fruit Quality of “Bursa Siyahı” Cultivar: A Multivariate Analysis Approach
by Dilan Ahi Koşar and Ümran Ertürk
Agronomy 2024, 14(5), 958; https://doi.org/10.3390/agronomy14050958 (registering DOI) - 02 May 2024
Abstract
Fig types such as “Smyrna” and “San Pedro” require pollination (called caprification in fig cultivation) to produce a commercial crop, based on the crop and pollination characteristics of figs. Caprification is the process of hanging caprifig (male fig) fruits on female fig trees [...] Read more.
Fig types such as “Smyrna” and “San Pedro” require pollination (called caprification in fig cultivation) to produce a commercial crop, based on the crop and pollination characteristics of figs. Caprification is the process of hanging caprifig (male fig) fruits on female fig trees to ensure the transfer of pollen from the female fig to the caprifig by a wasp (Blastophaga psenes) that lives within the caprifig. It is necessary to extend the caprification period by using caprifig genotypes that ripen at different times, as female fig fruits ripen gradually. However, as caprifigs may not be continuously available for pollinating female figs, storing suitable caprifigs is necessary. The aim of this study was to assess changes in Blastophaga psenes, the duration of Blastophaga’s exit, and the viability of pollen from caprifigs of different genotypes (16 08 05, 16 08 09, 16 08 10, 16 09 10, and 16 ZF 08) stored for caprification. These stored caprifig genotypes were subsequently used for pollination three times at 8-day intervals, after which their impact on the set and quality of the edible fig fruits was evaluated. According to the average data, at the end of storage, the least B.psenes loss was obtained from the 16 08 05 (61.03%) genotype, and the highest was obtained from the 16 09 10 (67.00%) genotype. Pollen germination tended to increase with the storage of caprifig fruits, but this increase was not linear. After storage, the 16 08 09 and 16 09 10 genotypes exhibited greater pollen germination. The highest fruit set and quality were obtained when the 16 08 09 and 16 09 10 genotypes were used as pollen sources. Furthermore, since the 16 08 10 genotype is the latest ripening caprifig genotype, it has been determined that it can pollinate late-ripening “Bursa Siyahı” fruits. Principal component and path analysis demonstrated that pollen viability and germination rate were crucial in selecting caprifig genotypes for fruit set and quality. Full article
(This article belongs to the Special Issue Reproductive Biology of Mediterranean, Subtropical and Tropical Crops)
18 pages, 11472 KiB  
Article
Heat Transfer Process of the Tea Plant under the Action of Air Disturbance Frost Protection
by Taibai Xu, Qingmin Pan and Yongzong Lu
Agronomy 2024, 14(5), 959; https://doi.org/10.3390/agronomy14050959 (registering DOI) - 02 May 2024
Abstract
Wind machines based on the air disturbance method are progressively employed to mitigate frost damage within the agricultural machinery frost protection. These devices are utilized during radiative frost nights to disrupt near-surface thermal inversion through air mixing. Despite this application, the fundamental mechanisms [...] Read more.
Wind machines based on the air disturbance method are progressively employed to mitigate frost damage within the agricultural machinery frost protection. These devices are utilized during radiative frost nights to disrupt near-surface thermal inversion through air mixing. Despite this application, the fundamental mechanisms underlying these mixing processes are not well comprehended. In this research, numerical simulations were conducted using COMSOL Multiphysics software version 6.0 to simulate the flow and heat transfer processes between the thermal airflow and both the tea canopy and stems. The results indicated that due to obstruction from the canopy cross-section, the airflow velocity on the contact surface rapidly increased. As the airflow further progressed, the high-speed region of the airflow gradually approached the canopy surface. Turbulent kinetic energy increased initially on the windward side of the canopy cross-section and near the top interface. On the windward side of the canopy, due to the initial impact of the thermal airflow, rapid heating occurred, resulting in a noticeable temperature difference between the windward and leeward sides within a short period. In the interaction between airflow and stems, with increasing airflow velocity, fluctuations and the shedding of wake occurred on the leeward side of the stems. The maximum sensible heat flux at the windward vertex of the stem increased significantly with airflow velocity. At an airflow velocity of 2.0 m/s, the maximum heat flux value was 2.37 times that of an airflow velocity of 1.0 m/s. This research utilized simulation methods to study the interaction between airflow and tea canopy and stems in frost protection, laying the foundation for further research on the energy distribution in tea ecosystem under the disturbance of airflow for frost protection. Full article
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26 pages, 18317 KiB  
Article
Optimal Parking Space Selection and Vehicle Driving Decision for Autonomous Parking System Based on Multi-Attribute Decision
by Zhaobo Qin, Mulin Han, Zhe Xing, Hongmao Qin, Ming Gao and Manjiang Hu
Electronics 2024, 13(9), 1760; https://doi.org/10.3390/electronics13091760 (registering DOI) - 02 May 2024
Abstract
Autonomous parking systems (APSs) can help drivers complete the task of finding a parking space and the parking operation, which improves driving comfort. Current research on APSs focus on the perception, localization, planning, and control modules, while few pay attention to the decision [...] Read more.
Autonomous parking systems (APSs) can help drivers complete the task of finding a parking space and the parking operation, which improves driving comfort. Current research on APSs focus on the perception, localization, planning, and control modules, while few pay attention to the decision modules. This paper proposes a method for optimal parking space selection and vehicle driving decisions. In terms of selecting the optimal parking space, a multi-attribute decision method is designed considering the type of parking space, walking distance, and other factors. In terms of vehicle driving decisions, we first predict the behavior and trajectory of the target vehicle in a specific scenario, and then use a combination of rule-based and learning-based decision methods for safe and comfortable vehicle driving behavior decisions. Simulation results show that the proposed methods can find the optimal parking space according to the parking lot map and improve the efficiency and smoothness of vehicle driving while ensuring driving safety. Full article
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12 pages, 5355 KiB  
Article
Assessment of Surgeons’ Stress Levels with Digital Sensors during Robot-Assisted Surgery: An Experimental Study
by Kristóf Takács, Eszter Lukács, Renáta Levendovics, Damján Pekli, Attila Szíjártó and Tamás Haidegger
Sensors 2024, 24(9), 2915; https://doi.org/10.3390/s24092915 (registering DOI) - 02 May 2024
Abstract
Robot-Assisted Minimally Invasive Surgery (RAMIS) marks a paradigm shift in surgical procedures, enhancing precision and ergonomics. Concurrently it introduces complex stress dynamics and ergonomic challenges regarding the human–robot interface and interaction. This study explores the stress-related aspects of RAMIS, using the da Vinci [...] Read more.
Robot-Assisted Minimally Invasive Surgery (RAMIS) marks a paradigm shift in surgical procedures, enhancing precision and ergonomics. Concurrently it introduces complex stress dynamics and ergonomic challenges regarding the human–robot interface and interaction. This study explores the stress-related aspects of RAMIS, using the da Vinci XI Surgical System and the Sea Spikes model as a standard skill training phantom to establish a link between technological advancement and human factors in RAMIS environments. By employing different physiological and kinematic sensors for heart rate variability, hand movement tracking, and posture analysis, this research aims to develop a framework for quantifying the stress and ergonomic loads applied to surgeons. Preliminary findings reveal significant correlations between stress levels and several of the skill-related metrics measured by external sensors or the SURG-TLX questionnaire. Furthermore, early analysis of this preliminary dataset suggests the potential benefits of applying machine learning for surgeon skill classification and stress analysis. This paper presents the initial findings, identified correlations, and the lessons learned from the clinical setup, aiming to lay down the cornerstones for wider studies in the fields of clinical situation awareness and attention computing. Full article
34 pages, 996 KiB  
Review
Highly Pathogenic Avian Influenza (HPAI) H5 Clade 2.3.4.4b Virus Infection in Birds and Mammals
by Giulia Graziosi, Caterina Lupini, Elena Catelli and Silvia Carnaccini
Animals 2024, 14(9), 1372; https://doi.org/10.3390/ani14091372 (registering DOI) - 02 May 2024
Abstract
Avian influenza viruses (AIVs) are highly contagious respiratory viruses of birds, leading to significant morbidity and mortality globally and causing substantial economic losses to the poultry industry and agriculture. Since their first isolation in 2013-2014, the Asian-origin H5 highly pathogenic avian influenza viruses [...] Read more.
Avian influenza viruses (AIVs) are highly contagious respiratory viruses of birds, leading to significant morbidity and mortality globally and causing substantial economic losses to the poultry industry and agriculture. Since their first isolation in 2013-2014, the Asian-origin H5 highly pathogenic avian influenza viruses (HPAI) of clade 2.3.4.4b have undergone unprecedented evolution and reassortment of internal gene segments. In just a few years, it supplanted other AIV clades, and now it is widespread in the wild migratory waterfowl, spreading to Asia, Europe, Africa, and the Americas. Wild waterfowl, the natural reservoir of LPAIVs and generally more resistant to the disease, also manifested high morbidity and mortality with HPAIV clade 2.3.4.4b. This clade also caused overt clinical signs and mass mortality in a variety of avian and mammalian species never reported before, such as raptors, seabirds, sealions, foxes, and others. Most notably, the recent outbreaks in dairy cattle were associated with the emergence of a few critical mutations related to mammalian adaptation, raising concerns about the possibility of jumping species and acquisition of sustained human-to-human transmission. The main clinical signs and anatomopathological findings associated with clade 2.3.4.4b virus infection in birds and non-human mammals are hereby summarized. Full article
17 pages, 2999 KiB  
Article
Point-of-Care Serum Proenkephalin as an Early Predictor of Mortality in Patients Presenting to the Emergency Department with Septic Shock
by Christos Verras, Sofia Bezati, Vasiliki Bistola, Ioannis Ventoulis, Dionysis Matsiras, Sotirios Tsiodras, John Parissis and Effie Polyzogopoulou
Biomedicines 2024, 12(5), 1004; https://doi.org/10.3390/biomedicines12051004 (registering DOI) - 02 May 2024
Abstract
Background: The aim of the present study is to investigate the prognostic utility of point-of-care (POC)-measured proenkephalin (PENK), a novel biomarker, in terms of predicting in-hospital mortality in patients presenting to the emergency department (ED) with septic shock. Methods: Bedside PENK was measured [...] Read more.
Background: The aim of the present study is to investigate the prognostic utility of point-of-care (POC)-measured proenkephalin (PENK), a novel biomarker, in terms of predicting in-hospital mortality in patients presenting to the emergency department (ED) with septic shock. Methods: Bedside PENK was measured in consecutive patients presenting to the ED with septic shock according to the Sepsis-3 clinical criteria. The association of PENK with inflammatory and routine biomarkers, and its role as a predictor of in-hospital mortality, was examined. Results: Sixty-one patients with septic shock [53% females, median age 83 years (IQR 71–88)] were evaluated. Median (IQR) values of creatinine, plasma lactate, soluble urokinase plasminogen activator receptor (SuPAR), procalcitonin and PENK were 1.7 (1.0–2.9) mg/dL, 3.6 (2.1–6.8) mmol/L, 13.1 (10.0–21.4) ng/mL, 2.06 (0.84–3.49) ng/mL, and 205 (129–425) pmol/L, respectively. LogPENK significantly correlated with LogLactate (rho = 0.369, p = 0.004), LogCreatinine (rho = 0.537, p < 0.001), LogProcalcitonin (rho = 0.557, p < 0.001), and LogSuPAR (rho = 0.327, p = 0.011). During hospitalization, 39/61 (64%) patients died. In a multivariable logistic regression model, logPENK was an independent predictor of in-hospital mortality (OR 11.9, 95% CI: 1.7–84.6, p = 0.013). Conclusion: POC PENK levels measured upon presentation to the ED strongly correlated with metabolic, renal and inflammatory biomarkers, and may serve as a predictor of in-hospital mortality in patients with septic shock. Full article
(This article belongs to the Special Issue Molecular Biomarkers and More Efficient Therapies for Sepsis)
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16 pages, 2718 KiB  
Article
In Search for Low-Molecular-Weight Ligands of Human Serum Albumin That Affect Its Affinity for Monomeric Amyloid β Peptide
by Evgenia I. Deryusheva, Marina P. Shevelyova, Victoria A. Rastrygina, Ekaterina L. Nemashkalova, Alisa A. Vologzhannikova, Andrey V. Machulin, Alija A. Nazipova, Maria E. Permyakova, Sergei E. Permyakov and Ekaterina A. Litus
Int. J. Mol. Sci. 2024, 25(9), 4975; https://doi.org/10.3390/ijms25094975 (registering DOI) - 02 May 2024
Abstract
An imbalance between production and excretion of amyloid β peptide (Aβ) in the brain tissues of Alzheimer’s disease (AD) patients leads to Aβ accumulation and the formation of noxious Aβ oligomers/plaques. A promising approach to AD prevention is the reduction of free Aβ [...] Read more.
An imbalance between production and excretion of amyloid β peptide (Aβ) in the brain tissues of Alzheimer’s disease (AD) patients leads to Aβ accumulation and the formation of noxious Aβ oligomers/plaques. A promising approach to AD prevention is the reduction of free Aβ levels by directed enhancement of Aβ binding to its natural depot, human serum albumin (HSA). We previously demonstrated the ability of specific low-molecular-weight ligands (LMWLs) in HSA to improve its affinity for Aβ. Here we develop this approach through a bioinformatic search for the clinically approved AD-related LMWLs in HSA, followed by classification of the candidates according to the predicted location of their binding sites on the HSA surface, ranking of the candidates, and selective experimental validation of their impact on HSA affinity for Aβ. The top 100 candidate LMWLs were classified into five clusters. The specific representatives of the different clusters exhibit dramatically different behavior, with 3- to 13-fold changes in equilibrium dissociation constants for the HSA–Aβ40 interaction: prednisone favors HSA–Aβ interaction, mefenamic acid shows the opposite effect, and levothyroxine exhibits bidirectional effects. Overall, the LMWLs in HSA chosen here provide a basis for drug repurposing for AD prevention, and for the search of medications promoting AD progression. Full article
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14 pages, 2236 KiB  
Article
Polyhydroxyalkanoate Copolymer Production by Recombinant Ralstonia eutropha Strain 1F2 from Fructose or Carbon Dioxide as Sole Carbon Source
by Chih-Ting Wang, Ramamoorthi M Sivashankari, Yuki Miyahara and Takeharu Tsuge
Bioengineering 2024, 11(5), 455; https://doi.org/10.3390/bioengineering11050455 (registering DOI) - 02 May 2024
Abstract
Ralstonia eutropha strain H16 is a chemoautotrophic bacterium that oxidizes hydrogen and accumulates poly[(R)-3-hydroxybutyrate] [P(3HB)], a prominent polyhydroxyalkanoate (PHA), within its cell. R. eutropha utilizes fructose or CO2 as its sole carbon source for this process. A PHA-negative mutant of [...] Read more.
Ralstonia eutropha strain H16 is a chemoautotrophic bacterium that oxidizes hydrogen and accumulates poly[(R)-3-hydroxybutyrate] [P(3HB)], a prominent polyhydroxyalkanoate (PHA), within its cell. R. eutropha utilizes fructose or CO2 as its sole carbon source for this process. A PHA-negative mutant of strain H16, known as R. eutropha strain PHB4, cannot produce PHA. Strain 1F2, derived from strain PHB4, is a leucine analog-resistant mutant. Remarkably, the recombinant 1F2 strain exhibits the capacity to synthesize 3HB-based PHA copolymers containing 3-hydroxyvalerate (3HV) and 3-hydroxy-4-methyvalerate (3H4MV) comonomer units from fructose or CO2. This ability is conferred by the expression of a broad substrate-specific PHA synthase and tolerance to feedback inhibition of branched amino acids. However, the total amount of comonomer units incorporated into PHA was up to around 5 mol%. In this study, strain 1F2 underwent genetic engineering to augment the comonomer supply incorporated into PHA. This enhancement involved several modifications, including the additional expression of the broad substrate-specific 3-ketothiolase gene (bktB), the heterologous expression of the 2-ketoacid decarboxylase gene (kivd), and the phenylacetaldehyde dehydrogenase gene (padA). Furthermore, the genome of strain 1F2 was altered through the deletion of the 3-hydroxyacyl-CoA dehydrogenase gene (hbdH). The introduction of bktB-kivd-padA resulted in increased 3HV incorporation, reaching 13.9 mol% from fructose and 6.4 mol% from CO2. Additionally, the hbdH deletion resulted in the production of PHA copolymers containing (S)-3-hydroxy-2-methylpropionate (3H2MP). Interestingly, hbdH deletion increased the weight-average molecular weight of the PHA to over 3.0 × 106 on fructose. Thus, it demonstrates the positive effects of hbdH deletion on the copolymer composition and molecular weight of PHA. Full article
(This article belongs to the Special Issue Advances in Polyhydroxyalkanoate (PHA) Production, Volume 4)
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17 pages, 1180 KiB  
Article
Do Cross-Border Mergers and Acquisitions by Emerging Market Enterprises Enhance Long-Term Productivity? The Host Country Market Size Effect Moderated by Technological Absorption Efforts
by Xia Liu, Jiaqi Fang, Xin Hu and Yiwei Lv
Systems 2024, 12(5), 161; https://doi.org/10.3390/systems12050161 (registering DOI) - 02 May 2024
Abstract
The purpose of this study was to establish a spatial structural framework to explore how cross-border mergers and acquisitions (M&As) in emerging markets can enhance long-term productivity and select the appropriate host country market structures. Utilizing cross-border M&A data from Chinese companies from [...] Read more.
The purpose of this study was to establish a spatial structural framework to explore how cross-border mergers and acquisitions (M&As) in emerging markets can enhance long-term productivity and select the appropriate host country market structures. Utilizing cross-border M&A data from Chinese companies from 2008 to 2016, we developed a moderated U-shaped mediation model. Employing Two-Stage Least Squares and the Generalized Method of Moments for endogeneity analysis, we offer robust empirical insights. Our findings illustrate that enterprise productivity progression from cross-border M&As is significantly influenced by a U-shaped mediation of the host country’s market size effect, which is further moderated by the technological distance between the home and host countries. A high technological distance intensifies the U-shaped mediation of market size effects on enterprise productivity, while low technological distances result in an inverted U-shaped curve, indicating that such markets may boost short-term productivity but limit long-term growth. Conversely, larger markets with greater technological distances better support sustained productivity increases, even requiring persistent technological absorption efforts. This study underscores the necessity of selecting appropriate host country market structures and effectively managing the acquisition timeline to positively impact both short- and long-term productivity. By conceptualizing firm-level technological absorption efforts as the technological gap between the home and host countries, this study highlights the crucial moderating role that the technological gap plays in influencing long-term productivity at the macro level, providing new insights into the economic geographic strategic decisions and spatial planning for emerging market enterprises in cross-border acquisitions. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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27 pages, 845 KiB  
Review
Bioferments and Biosurfactants as New Products with Potential Use in the Cosmetic Industry
by Marta Klimek-Szczykutowicz, Ewelina Maria Błońska-Sikora, Katarzyna Kulik-Siarek, Aizhan Zhussupova and Małgorzata Wrzosek
Appl. Sci. 2024, 14(9), 3902; https://doi.org/10.3390/app14093902 (registering DOI) - 02 May 2024
Abstract
The cosmetics industry is one of the fastest growing markets in terms of searching for new ingredients. Recently, there has been a growing interest in products made during fermentation, which are being introduced into cosmetics with increasing frequency, creating a market that emphasizes [...] Read more.
The cosmetics industry is one of the fastest growing markets in terms of searching for new ingredients. Recently, there has been a growing interest in products made during fermentation, which are being introduced into cosmetics with increasing frequency, creating a market that emphasizes the positive image of healthy, environmentally friendly components with a positive effect on skin. Scientists mainly focus on examining biological activity as well as the impact on changes in the production of bioactive ingredients in various plant species undergoing fermentation. The studies show that bioferments have scientifically proven anti-aging and anti-inflammatory effects, among other skin benefits. Due to the increasing emphasis on environmental protection, ecofriendly compounds are being sought. This group includes surfactants, which are also obtained by fermentation. Plant-based and microbial biosurfactants, due to their multifunctional properties, such as detergency, emulsifying, foaming, moisturizing, and antibacterial activity, can replace chemical surfactants in many skincare formulations. This review focuses especially on elucidating the importance of the bioferments and biosurfactants and their potential in the cosmetic industry. Full article
(This article belongs to the Section Biomedical Engineering)
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16 pages, 7765 KiB  
Article
Al and A356 Alloy Foam Castings Modified with Low Concentrations of Nano-Sized Particles: Structural Study and Compressive Strength Tests
by Rositza Dimitrova, Tatiana Simeonova, Boyko Krastev, Angel Velikov, Veselin Petkov and Valentin Manolov
Metals 2024, 14(5), 542; https://doi.org/10.3390/met14050542 (registering DOI) - 02 May 2024
Abstract
Aluminum and A356 alloy foam castings are produced using a melt-foaming method. Prior to foaming, the melt is modified with nano-sized particles (SiC, TiN, or Al2O3). The nano-sized particles are mixed with micro-sized Al particles, which are ultrasonically treated [...] Read more.
Aluminum and A356 alloy foam castings are produced using a melt-foaming method. Prior to foaming, the melt is modified with nano-sized particles (SiC, TiN, or Al2O3). The nano-sized particles are mixed with micro-sized Al particles, which are ultrasonically treated and hot-extruded. Thus, the so-called “modifying nano-composition” is obtained. The resulting compositions are introduced into the melt of the Al foam at the following mass concentrations of nanoparticles: SiC: 0.038 wt. %; TiN: 0.045 wt. %; and Al2O3: 0.046 wt. %. For the A356 foam, we use the following concentrations: SiC: 0.039 wt. %; TiN: 0.052 wt. %; and Al2O3: 0.086 wt. %. The macrostructure of the foam castings is investigated by CT scanning and 3D analysis. The pore size distributions and accumulative fraction dependencies are determined for all samples. The microstructure of the foam castings is investigated by SEM-EDS analysis. The results confirmed the presence of individual nano-sized particles, as well as clusters of particles in foam walls. The conducted compression tests show a significant increase in the plateau stress (up to 237%) of the modified aluminum foam castings compared to non-modified castings. However, a similar effect of the nano-compositions on A356 alloy foam castings is not observed. The obtained results show that the above-indicated concentrations of nanoparticles can positively influence the mechanical properties of aluminum foam castings. The novelty of the current study is two-fold: (1) such low concentrations of added nanoparticles have never been used before to alter Al foam’s properties, and (2) an original method of introducing the nanoparticles into the melt is applied in the form of nano-compositions. Full article
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12 pages, 2791 KiB  
Article
Interpolation Once Binary Search over a Sorted List
by Jun-Lin Lin
Mathematics 2024, 12(9), 1394; https://doi.org/10.3390/math12091394 (registering DOI) - 02 May 2024
Abstract
Searching over a sorted list is a classical problem in computer science. Binary Search takes at most log2n+1 tries to find an item in a sorted list of size n. Interpolation Search achieves an average time complexity [...] Read more.
Searching over a sorted list is a classical problem in computer science. Binary Search takes at most log2n+1 tries to find an item in a sorted list of size n. Interpolation Search achieves an average time complexity of O(loglogn) for uniformly distributed data. Hybrids of Binary Search and Interpolation Search are also available to handle data with unknown distributions. This paper analyzes the computation cost of these methods and shows that interpolation can significantly affect their performance—accordingly, a new method, Interpolation Once Binary Search (IOBS), is proposed. The experimental results show that IOBS outperforms the hybrids of Binary Search and Interpolation Search for nonuniformly distributed data. Full article
(This article belongs to the Special Issue Advances of Computer Algorithms and Data Structures)
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17 pages, 1009 KiB  
Article
Effects on Child Development and Parent–Child Interaction of the FACAM Intervention: A Randomized Controlled Study of an Interdisciplinary Intervention to Support Women in Vulnerable Positions through Pregnancy and Early Motherhood
by Maiken Pontoppidan, Lene Nygaard, Jonas Cuzulan Hirani, Mette Thorsager, Mette Friis-Hansen, Deborah Davis and Ellen Aagaard Nohr
Int. J. Environ. Res. Public Health 2024, 21(5), 587; https://doi.org/10.3390/ijerph21050587 (registering DOI) - 02 May 2024
Abstract
Health inequality can have a profound impact on a child’s life. Maternal mental health challenges can hinder bonding, leading to impaired functioning and poorer child outcomes. To provide extra support for vulnerable pregnant women, the FACAM intervention offers the services of a health [...] Read more.
Health inequality can have a profound impact on a child’s life. Maternal mental health challenges can hinder bonding, leading to impaired functioning and poorer child outcomes. To provide extra support for vulnerable pregnant women, the FACAM intervention offers the services of a health nurse or family therapist from pregnancy until the child starts school. This study examined the effects of FACAM intervention on pregnant women in vulnerable positions and their children until the child turned two years old. We randomly assigned 331 pregnant women to either FACAM intervention or care as usual and assessed them at baseline and when the infant was 3–6, 12–13.5, and 24 months old. The primary outcome was maternal sensitivity measured by Coding Interactive Behavior (CIB). Secondary outcomes included the parent–child relationship, child social–emotional development, child developmental progress, parent–child interaction, and child development. Our findings indicate that care-as-usual children were significantly more involved than FACAM children when the child was 4–6 months old (b = −0.25, [−0.42; −0.08] d = −0.42). However, we suspect this result is due to a biased dropout. We did not find any significant differences in any other outcomes. Therefore, the study suggests that the FACAM intervention is not superior to care as usual regarding child development and parent–child interaction outcomes. Full article
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