The 2023 MDPI Annual Report has
been released!
 
19 pages, 3122 KiB  
Article
Enhancing Human Key Point Identification: A Comparative Study of the High-Resolution VICON Dataset and COCO Dataset Using BPNET
by Yunju Lee, Bibash Lama, Sunghwan Joo and Jaerock Kwon
Appl. Sci. 2024, 14(11), 4351; https://doi.org/10.3390/app14114351 (registering DOI) - 21 May 2024
Abstract
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three diverse 2D cameras. It facilitates the training of neural networks [...] Read more.
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three diverse 2D cameras. It facilitates the training of neural networks to estimate 2D key joint positions from images and videos. The study involved 25 healthy adults (17 males, 8 females), executing normal gait for 2 to 3 s. The VICON system captured 3D ground truth data, while the three 2D cameras collected images from different perspectives (0°, 45°, and 135°). The dataset was used to train the Body Pose Network (BPNET), a popular neural network model developed by NVIDIA TAO. Additionally, a comparison entails another BPNET model trained on the COCO 2017 dataset, featuring over 118,000 annotated images. Notably, the proposed dataset exhibited a higher level of accuracy (14.5%) than COCO 2017, despite comprising one-fourth of the image count (23,741 annotated image). This substantial reduction in data size translates to improvements in computational efficiency during model training. Furthermore, the unique dataset’s emphasis on gait and precise prediction of key joint positions during normal gait movements distinguish it from existing alternatives. This study has implications ranging from gait-based person identification, and non-invasive concussion detection through sports temporal analysis, to pathologic gait pattern identification. Full article
(This article belongs to the Special Issue Advanced Sensors for Postural or Gait Stability Assessment)
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15 pages, 980 KiB  
Article
Potential of Nettle Infusion to Protect Common Bean from Halo Blight Disease
by Carlota Cerezo, Penélope García-Angulo, Asier Largo-Gosens and María Luz Centeno
Horticulturae 2024, 10(6), 536; https://doi.org/10.3390/horticulturae10060536 (registering DOI) - 21 May 2024
Abstract
The use of plant-based preparations to replace chemical pesticides is a challenge for sustainable agriculture. Preparations from nettle (Urtica dioica L.) are good candidates, as the treatment of common bean plants (Phaseolus vulgaris L.) with aqueous suspensions of nettle reduced symptoms [...] Read more.
The use of plant-based preparations to replace chemical pesticides is a challenge for sustainable agriculture. Preparations from nettle (Urtica dioica L.) are good candidates, as the treatment of common bean plants (Phaseolus vulgaris L.) with aqueous suspensions of nettle reduced symptoms of halo blight disease caused by Pseudomonas syringae pv. phaseolicola (Pph). The aim of the present work was to test if nettle infusions (Ui) have similar effects and find out what activity is behind this: antimicrobial, promotion of the natural defenses of plants, and/or antioxidant. To achieve this, Pph growth was tested in the presence of infusions of nettle leaves collected in two different years (Ui18 and Ui22), and we found that it was only weakly inhibited at high concentrations of Ui18. Interestingly, Ui22 promoted bacteria growth at all concentrations. Second, we estimated the production of reactive oxygen species (ROS) in response to flagellin22 (flg22) in common bean leaf discs, since recognition of this bacterial peptide usually leads to ROS accumulation in tissues as a plant immune response. However, leaf discs that were preincubated in Ui showed no accumulation of ROS after flg22 treatment, suggesting that Ui can neutralize ROS production. Finally, in a Pph inoculation experiment of common bean plants grown in vitro, we observed that pretreatment of plants with Ui drastically reduced foliar oxidative damage and disease symptoms 6 h after inoculation. This effect was more noticeable for Ui22, which was related to the higher antioxidant activity found in this extract in comparison with Ui18. These results suggest that the protective properties of Ui are mainly due to the content of antioxidant bioactive compounds. Full article
(This article belongs to the Special Issue The Diagnosis, Management, and Epidemiology of Plant Diseases)
23 pages, 982 KiB  
Review
Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms
by Takashi Sonam Tashi Tanaka, Sheng Wang, Johannes Ravn Jørgensen, Marco Gentili, Armelle Zaragüeta Vidal, Anders Krogh Mortensen, Bharat Sharma Acharya, Brittany Deanna Beck and René Gislum
Drones 2024, 8(6), 212; https://doi.org/10.3390/drones8060212 (registering DOI) - 21 May 2024
Abstract
The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replacements for more laborious and time-consuming manual field phenotyping. This review aims to elucidate [...] Read more.
The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replacements for more laborious and time-consuming manual field phenotyping. This review aims to elucidate the advantages and challenges of UAV-based phenotyping techniques. This is a comprehensive overview summarizing the UAV platforms, sensors, and data processing while also introducing recent technological developments. Recently developed software and sensors greatly enhance the accessibility of UAV-based phenotyping, and a summary of recent research (publications 2019–2024) provides implications for future research. Researchers have focused on integrating multiple sensing data or utilizing machine learning algorithms, such as ensemble learning and deep learning, to enhance the prediction accuracies of crop physiological traits. However, this approach will require big data alongside laborious destructive measurements in the fields. Future research directions will involve standardizing the process of merging data from multiple field experiments and data repositories. Previous studies have focused mainly on UAV technology in major crops, but there is a high potential in minor crops or cropping systems for future sustainable crop production. This review can guide new practitioners who aim to implement and utilize UAV-based phenotyping. Full article
(This article belongs to the Special Issue Advances of UAV in Precision Agriculture)
19 pages, 1526 KiB  
Review
Bioplastic Production from Agri-Food Waste through the Use of Haloferax mediterranei: A Comprehensive Initial Overview
by Angela Longo, Francesca Fanelli, Marianna Villano, Marco Montemurro and Carlo Giuseppe Rizzello
Microorganisms 2024, 12(6), 1038; https://doi.org/10.3390/microorganisms12061038 (registering DOI) - 21 May 2024
Abstract
The research on bioplastics (both biobased and biodegradable) is steadily growing and discovering environmentally friendly substitutes for conventional plastic. This review highlights the significance of bioplastics, analyzing, for the first time, the state of the art concerning the use of agri-food waste as [...] Read more.
The research on bioplastics (both biobased and biodegradable) is steadily growing and discovering environmentally friendly substitutes for conventional plastic. This review highlights the significance of bioplastics, analyzing, for the first time, the state of the art concerning the use of agri-food waste as an alternative substrate for biopolymer generation using Haloferax mediterranei.. H. mediterranei is a highly researched strain able to produce polyhydroxybutyrate (PHB) since it can grow and produce bioplastic in high-salinity environments without requiring sterilization. Extensive research has been conducted on the genes and pathways responsible for PHB production using H. mediterranei to find out how fermentation parameters can be regulated to enhance cell growth and increase PHB accumulation. This review focuses on the current advancements in utilizing food waste as a substitute for costly substrates to reduce feedstock expenses. Specifically, it examines the production of biomass and the recovery of PHB from agri-food waste. Furthermore, it emphasizes the characterization of PHB and the significance of hydroxyvalerate (HV) abundance in the formation of Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) copolymer. The downstream processing options are described, and the crucial factors associated with industrial scale-up are assessed, including substrates, bioreactors, process parameters, and bioplastic extraction and purification. Additionally, the economic implications of various options are discussed. Full article
(This article belongs to the Special Issue Microbial Fermentation, Food and Food Sustainability)
22 pages, 1610 KiB  
Article
MS785-MS27 Reactive Misfolded/Non-Native Zn-Deficient SOD1 Species Exhibit Cytotoxicity and Adopt Heterozygous Conformations in Motor Neurons
by Eiichi Tokuda, Yume Sakashita, Naoya Tokoro, Ayano Date, Yasuhiro Kosuge and Tomohiro Miyasaka
Int. J. Mol. Sci. 2024, 25(11), 5603; https://doi.org/10.3390/ijms25115603 (registering DOI) - 21 May 2024
Abstract
Misfolding of superoxide dismutase-1 (SOD1) is a pathological hallmark of amyotrophic lateral sclerosis (ALS) with SOD1 mutations. The development of antibodies specific for misfolded SOD1 deepens our understanding of how the protein participates in ALS pathogenesis. Since the term “misfolding” refers to various [...] Read more.
Misfolding of superoxide dismutase-1 (SOD1) is a pathological hallmark of amyotrophic lateral sclerosis (ALS) with SOD1 mutations. The development of antibodies specific for misfolded SOD1 deepens our understanding of how the protein participates in ALS pathogenesis. Since the term “misfolding” refers to various disordered conformers other than the natively folded one, which misfolded species are recognized by specific antibodies should be determined. Here, we molecularly characterized the recognition by MS785-MS27, an antibody cocktail experimentally confirmed to recognize over 100 ALS-linked SOD1 mutants. Indirect ELISA revealed that the antibody cocktail recognized Zn-deficient wild-type and mutated SOD1 species. It also recognized conformation-disordered wild-type and mutated SOD1 species, such as unfolded and oligomeric forms, but had less affinity for the aggregated form. Antibody-reactive SOD1 exhibited cytotoxicity to a motor neuron cell model, which was blocked by Zn treatment with Zn-deficient SOD1. Immunohistochemistry revealed antibody-reactive SOD1 mainly in spinal motor neurons of SOD1G93A mice throughout the disease course, and the distribution after symptomatic stages differed from that of other misfolded SOD1 species. This suggests that misfolded/non-native SOD1 species exist as heterogeneous populations. In conclusion, MS785-MS27 recognizes various conformation-disordered SOD1 species lacking the Zn ion. Full article
(This article belongs to the Section Molecular Neurobiology)
25 pages, 9549 KiB  
Article
Multi-Regional Integrated Energy Economic Dispatch Considering Renewable Energy Uncertainty and Electric Vehicle Charging Demand Based on Dynamic Robust Optimization
by Bo Zhou and Erchao Li
Energies 2024, 17(11), 2453; https://doi.org/10.3390/en17112453 (registering DOI) - 21 May 2024
Abstract
Aiming at the problem of source-load uncertainty caused by the increasing penetration of renewable energy and the large-scale integration of electric vehicles (EVs) into modern power system, a robust optimal operation scheduling algorithm for regional integrated energy systems (RIESs) with such uncertain situations [...] Read more.
Aiming at the problem of source-load uncertainty caused by the increasing penetration of renewable energy and the large-scale integration of electric vehicles (EVs) into modern power system, a robust optimal operation scheduling algorithm for regional integrated energy systems (RIESs) with such uncertain situations is urgently needed. Based on this background, aiming at the problem of the irregular charging demand of EV, this paper first proposes an EV charging demand model based on the trip chain theory. Secondly, a multi-RIES optimization operation model including a shared energy storage station (SESS) and integrated demand response (IDR) is established. Aiming at the uncertainty problem of renewable energy, this paper transforms this kind of problem into a dynamic robust optimization with time-varying parameters and proposes an improved robust optimization over time (ROOT) algorithm based on the scenario method and establishes an optimal scheduling mode with the minimum daily operation cost of a multi-regional integrated energy system. Finally, the proposed uncertainty analysis method is verified by an example of multi-RIES. The simulation results show that in the case of the improved ROOT proposed in this paper to solve the robust solution of renewable energy, compared with the traditional charging load demand that regards the EVs as a whole, the EV charging load demand based on the trip chain can reduce the cost of EV charging by 3.5% and the operating cost of the multi-RIES by 11.7%. With the increasing number of EVs, the choice of the starting point of the future EV trip chain is more variable, and the choice of charging methods is more abundant. Therefore, modeling the charging demand of EVs under more complex trip chains is the work that needs to be studied in the future. Full article
(This article belongs to the Section E: Electric Vehicles)
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12 pages, 653 KiB  
Article
Antimicrobial Susceptibility of Bacterial Pathogens from Patients with Ocular Surface Infections in Germany, 2020–2021: A Comparison with the Data from Three Previous National Studies
by Esther Wohlfarth, Michael Kresken and Fabian Deuchert
Antibiotics 2024, 13(6), 471; https://doi.org/10.3390/antibiotics13060471 (registering DOI) - 21 May 2024
Abstract
Bacteria are a major cause of superficial eye infections, especially in children. The present study aimed to (i) determine the antimicrobial susceptibility patterns of ocular bacterial pathogens recovered in 20 laboratories during the period 2020–2021 and (ii) compare these results to those from [...] Read more.
Bacteria are a major cause of superficial eye infections, especially in children. The present study aimed to (i) determine the antimicrobial susceptibility patterns of ocular bacterial pathogens recovered in 20 laboratories during the period 2020–2021 and (ii) compare these results to those from three studies of the same design conducted in 2004, 2009, and 2015 in Germany. Cut-off values defined by EUCAST were used as breakpoints. A total of 1366 bacterial isolates were collected. The most frequent ocular specimens were conjunctival smears (54.3%). Susceptibility rates of Staphylococcus aureus (n = 594), Haemophilus influenzae (n = 178), and Streptococcus pneumoniae (n = 149) to chloramphenicol, gentamicin, kanamycin, neomycin, levofloxacin, ofloxacin, and oxytetracycline were >90% each. Overall, only minor changes in resistance levels were observed in the period since 2004. Therefore, all tested antimicrobials can still be recommended for local therapy of ocular surface infections. Full article
22 pages, 13674 KiB  
Article
SVHRSP Alleviates Age-Related Cognitive Deficiency by Reducing Oxidative Stress and Neuroinflammation
by Yingzi Wang, Zhenhua Wang, Songyu Guo, Qifa Li, Yue Kong, Aoran Sui, Jianmei Ma, Li Lu, Jie Zhao and Shao Li
Antioxidants 2024, 13(6), 628; https://doi.org/10.3390/antiox13060628 (registering DOI) - 21 May 2024
Abstract
Background: Our previous studies have shown that scorpion venom heat-resistant synthesized peptide (SVHRSP) induces a significant extension in lifespan and improvements in age-related physiological functions in worms. However, the mechanism underlying the potential anti-aging effects of SVHRSP in mammals remains elusive. Methods: Following [...] Read more.
Background: Our previous studies have shown that scorpion venom heat-resistant synthesized peptide (SVHRSP) induces a significant extension in lifespan and improvements in age-related physiological functions in worms. However, the mechanism underlying the potential anti-aging effects of SVHRSP in mammals remains elusive. Methods: Following SVHRSP treatment in senescence-accelerated mouse resistant 1 (SAMR1) or senescence-accelerated mouse prone 8 (SAMP8) mice, behavioral tests were conducted and brain tissues were collected for morphological analysis, electrophysiology experiments, flow cytometry, and protein or gene expression. The human neuroblastoma cell line (SH-SY5Y) was subjected to H2O2 treatment in cell experiments, aiming to establish a cytotoxic model that mimics cellular senescence. This model was utilized to investigate the regulatory mechanisms underlying oxidative stress and neuroinflammation associated with age-related cognitive impairment mediated by SVHRSP. Results: SVHRSP significantly ameliorated age-related cognitive decline, enhanced long-term potentiation, restored synaptic loss, and upregulated the expression of synaptic proteins, therefore indicating an improvement in synaptic plasticity. Moreover, SVHRSP demonstrated a decline in senescent markers, including SA-β-gal enzyme activity, P16, P21, SIRT1, and cell cycle arrest. The underlying mechanisms involve an upregulation of antioxidant enzyme activity and a reduction in oxidative stress-induced damage. Furthermore, SVHRSP regulated the nucleoplasmic distribution of NRF2 through the SIRT1-P53 pathway. Further investigation indicated a reduction in the expression of proinflammatory factors in the brain after SVHRSP treatment. SVHRSP attenuated neuroinflammation by regulating the NF-κB nucleoplasmic distribution and inhibiting microglial and astrocytic activation through the SIRT1-NF-κB pathway. Additionally, SVHRSP significantly augmented Nissl body count while suppressing neuronal loss. Conclusion: SVHRSP could remarkably improve cognitive deficiency by inhibiting oxidative stress and neuroinflammation, thus representing an effective strategy to improve brain health. Full article
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13 pages, 655 KiB  
Article
Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 Versus Placebo as Prophylaxis for Recurrence of Urinary Tract Infections in Children
by Maria Daniel, Hanna Szymanik-Grzelak, Janusz Sierdziński and Małgorzata Pańczyk-Tomaszewska
Microorganisms 2024, 12(6), 1037; https://doi.org/10.3390/microorganisms12061037 (registering DOI) - 21 May 2024
Abstract
Urinary tract infections (UTIs) rank among the most prevalent bacterial infections in children. Probiotics appear to reduce the risk of recurrence of UTIs. This study aimed to evaluate whether probiotics containing Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 therapy prevent UTIs in the [...] Read more.
Urinary tract infections (UTIs) rank among the most prevalent bacterial infections in children. Probiotics appear to reduce the risk of recurrence of UTIs. This study aimed to evaluate whether probiotics containing Lactobacillus rhamnosus PL1 and Lactobacillus plantarum PM1 therapy prevent UTIs in the pediatric population compared to a placebo. A superiority, double-blind, randomized, controlled trial was conducted. In total, 54 children aged 3–18 years with recurrent UTIs or ≥one acute pyelonephritis and ≥one risk factor of recurrence of UTIs were randomly assigned (27 patients in each arm) to a 90-day probiotic or placebo arm. The age, sex, diagnosis, renal function, risk factors, and etiology of UTIs did not vary between the groups. During the intervention, 26% of children taking the probiotic had episodes of UTI, and it was not significantly less than in the placebo group. The number of UTI episodes during the intervention and the follow-up period decreased significantly in both groups, but the difference between them was insignificant. We observed a decrease in UTIs during the study of almost 50% in the probiotic group compared to the placebo group. Probiotics can be used as natural, safe prophylaxis for children with risk factors for UTIs in whom antibiotic prevention is not indicated. Full article
(This article belongs to the Special Issue Effects of Probiotics on Health, 2nd Edition)
18 pages, 4842 KiB  
Article
Coordination of SRF-PLL and Grid Forming Inverter Control in Microgrid with Solar PV and Energy Storage
by V. Vignesh Babu, J. Preetha Roselyn and Prabha Sundaravadivel
J. Low Power Electron. Appl. 2024, 14(2), 29; https://doi.org/10.3390/jlpea14020029 (registering DOI) - 21 May 2024
Abstract
Recently, there has been a huge advancement in renewable energy integration in power systems. Power converters with grid-forming or grid-following topologies are typically employed to link these decentralized power sources to the grid. However, because distributed generation has less inertia than synchronous generators, [...] Read more.
Recently, there has been a huge advancement in renewable energy integration in power systems. Power converters with grid-forming or grid-following topologies are typically employed to link these decentralized power sources to the grid. However, because distributed generation has less inertia than synchronous generators, their use of renewable energy sources threatens the electrical grid’s reliability. Suitable control approaches for ensuring frequency and voltage stability in the grid-connected form of operation are established in this study, which offers dynamic, seamless power switching in the islanded mode of operation. In this research, effective Phase Locked Loop (PLL) techniques for grid-forming (GFM) and grid-following (GFL) converters are designed to achieve a smooth transition from grid-tied to islanded mode of operation. In this work, PLL configurations are implemented while considering the active and reactive power, frequency, voltage, and current parameters of the system, and ensuring voltage and frequency stability. The simulation results in a microgrid network that ensures a smooth transition of power transfer while switching between modes of operation, and supports the voltage and frequency stability of the system. Full article
(This article belongs to the Special Issue Energy Aware Solutions for Battery Management Systems)
35 pages, 3837 KiB  
Review
Ion-Selective Electrodes in the Food Industry: Development Trends in the Potentiometric Determination of Ionic Pollutants
by Antonio Ruiz-Gonzalez
Electrochem 2024, 5(2), 178-212; https://doi.org/10.3390/electrochem5020012 (registering DOI) - 21 May 2024
Abstract
Food quality assessment is becoming a global priority due to population growth and the rise of ionic pollutants derived from anthropogenic sources. However, the current methods used to quantify toxic ions are expensive and their operation is complex. Consequently, there is a need [...] Read more.
Food quality assessment is becoming a global priority due to population growth and the rise of ionic pollutants derived from anthropogenic sources. However, the current methods used to quantify toxic ions are expensive and their operation is complex. Consequently, there is a need for affordable and accessible methods for the accurate determination of ion concentrations in food. Electrochemical sensors based on potentiometry represent a promising approach in this field, with the potential to overcome limitations of the currently available systems. This review summarizes the current advances in the electrochemical quantification of heavy metals and toxic anions in the food industry using potentiometric sensors. The healthcare impact of common heavy metal contaminants (Cd2+, Hg2+, Pb2+, As3+) and anions (ClO4, F, HPO4, SO42−, NO3, NO2) is discussed, alongside current regulations, and gold standard methods for analysis. Sensor performances are compared to current benchmarks in terms of selectivity and the limit of detection. Given the complexity of food samples, the percentage recovery values (%) and the methodologies employed for ion extraction are also described. Finally, a summary of the challenges and future directions of the field is provided. An overview of technologies that can overcome the limitations of current electrochemical sensors is shown, including new extraction methods for ions in food. Full article
(This article belongs to the Collection Feature Papers in Electrochemistry)
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20 pages, 7714 KiB  
Article
Experimental Investigation of the Effect of Compressive Interface Stress on Interfaces in Reinforced Concrete Elements under Cyclic Action
by Vasiliki Palieraki, Christos Zeris and Elizabeth Vintzileou
Appl. Sci. 2024, 14(11), 4350; https://doi.org/10.3390/app14114350 (registering DOI) - 21 May 2024
Abstract
Reinforced concrete interfaces, either cracks within monolithic elements or joints between concretes cast at different times may become critical under cyclic actions, due to stiffness and interface resistance degradation. Among the numerous parameters affecting the behavior of interfaces, this paper focuses on the [...] Read more.
Reinforced concrete interfaces, either cracks within monolithic elements or joints between concretes cast at different times may become critical under cyclic actions, due to stiffness and interface resistance degradation. Among the numerous parameters affecting the behavior of interfaces, this paper focuses on the effect of externally applied compressive stress. In conjunction with this parameter, the diameter of the reinforcing bars crossing the interface, their embedment length, and the anchorage of the interface reinforcement, by bond or using epoxy resin, are investigated. Roughened concrete interfaces crossed by reinforcing bars were subjected to cyclic shear slips, with or without compressive stress normal to the interface. The presented experimental results prove the beneficial effect of the external compressive stress on the ultimate shear resistance of interfaces, accompanied by the reduction of the effect of small embedment length of the interface reinforcement, due to its reduced contribution: the externally imposed compression leads to smaller crack openings at the interface, in most cases smaller than 0.40 mm, and to reduction of the reinforcement clamping effect. The shear resistance is activated at reduced shear slip values (0.20 mm–0.40 mm compared to 0.20–0.80 mm for interfaces under zero external compression), while the interface resistance degradation is also reduced (e.g., during the second load cycle, to 15% on average, compared to 30% for interfaces under zero external compression). Finally, an equation previously proposed by the authors is applied for the prediction of the shear resistance of interfaces under normal force, leading to satisfying accuracy. Full article
(This article belongs to the Special Issue Advances in Building Materials and Concrete, 2nd Edition)
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10 pages, 496 KiB  
Article
Comparison of Greater Occipital Nerve Blockade and Sphenopalatine Ganglion Blockade in Patients with Episodic Migraine
by Hanzade Aybuke Unal, Ahmet Basarı, Opal Sezgi Celiker, Keziban Sanem Cakar Turhan, Ibrahim Asik and Gungor Enver Ozgencil
J. Clin. Med. 2024, 13(11), 3027; https://doi.org/10.3390/jcm13113027 (registering DOI) - 21 May 2024
Abstract
Objectives: Compare the effects of greater occipital nerve (GON) and sphenopalatine ganglion (SPG) blocks on headache intensity and duration, number of headache days, and disability in patients with episodic migraine. Methods: In this prospective single-blind randomized study, patients with episodic migraine [...] Read more.
Objectives: Compare the effects of greater occipital nerve (GON) and sphenopalatine ganglion (SPG) blocks on headache intensity and duration, number of headache days, and disability in patients with episodic migraine. Methods: In this prospective single-blind randomized study, patients with episodic migraine were randomly divided into two groups: GON and SPG block groups. Patients received blocks once a week for 4 weeks, and once a month for 2 months. The number of headache days, the headache duration, numeric rating scale (NRS) scores, and number of acute medical treatments were assessed before the procedures and 1 month, 2 months, and 3 months after the procedures. Disability was evaluated using the migraine disability assessment (MIDAS) questionnaire at baseline and 3 months after treatment. This study protocol is registered at ClinicalTrials.gov (NCT06243874.). Results: 19 patients in the GON block group and 18 patients in the SPG block group were evaluated. Significant improvements in pain severity, headache duration, number of headache days, and the need for acute medical treatment were observed in the 1st, 2nd, and 3rd months compared to baseline in the two groups (p < 0.001). There were significant improvements in the MIDAS scores in the third month (p < 0.001). The GON block group showed a greater reduction in headache intensity, duration, number of headache days, and MIDAS scores compared to the SPG block group in the 3rd month (p < 0.001). Conclusions: GON block reduces headache duration, intensity, the number of headache days, and the need for acute medical treatment much more than SPG block in patients with episodic migraine. Full article
(This article belongs to the Section Clinical Neurology)
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15 pages, 2655 KiB  
Article
Strange Things in Bottom-to-Strange Decays: The Standard Model Turned Upside Down?
by Martin Andersson, Alexander Mclean Marshall, Konstantinos A. Petridis and Eluned Smith
Symmetry 2024, 16(6), 638; https://doi.org/10.3390/sym16060638 (registering DOI) - 21 May 2024
Abstract
The flavour anomalies are a set of experimental deviations from the Standard Model (SM) predictions in several observables involving decays of bottom quarks. In particular, tensions between theory and experiment in measurements involving a bottom quark decaying into a strange quark and a [...] Read more.
The flavour anomalies are a set of experimental deviations from the Standard Model (SM) predictions in several observables involving decays of bottom quarks. In particular, tensions between theory and experiment in measurements involving a bottom quark decaying into a strange quark and a pair of muons have motivated much theoretical work to explore possible new physics explanations. This review summarises the tumultuous evolution of these tensions, focusing on the most recent experimental results and their implications for physics beyond the SM. We also discuss the prospects for future measurements and tests of the flavour anomalies at the LHC and other facilities. Full article
(This article belongs to the Special Issue Symmetries and Anomalies in Flavour Physics)
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12 pages, 2417 KiB  
Article
Synthesis and Mechanism Study of Carbon Nanowires, Carbon Nanotubes, and Carbon Pompons on Single-Crystal Diamonds
by Shuai Wu, Qiang Wang, Kesheng Guo, Lei Liu, Jie Bai, Zhenhuai Yang, Xin Li and Hong Liu
Crystals 2024, 14(6), 481; https://doi.org/10.3390/cryst14060481 (registering DOI) - 21 May 2024
Abstract
Carbon nanomaterials are in high demand owing to their exceptional physical and chemical properties. This study employed a mixture of CH4, H2, and N2 to create carbon nanostructures on a single-crystal diamond using microwave plasma chemical vapor deposition [...] Read more.
Carbon nanomaterials are in high demand owing to their exceptional physical and chemical properties. This study employed a mixture of CH4, H2, and N2 to create carbon nanostructures on a single-crystal diamond using microwave plasma chemical vapor deposition (MPCVD) under high-power conditions. By controlling the substrate surface and nitrogen flow rate, carbon nanowires, carbon nanotubes, and carbon pompons could be selectively deposited. The results obtained from OES, SEM, TEM, and Raman spectroscopy revealed that the nitrogen flow rate and substrate surface conditions were crucial for the growth of carbon nanostructures. The changes in the plasma shape enhanced the etching effect, promoting the growth of carbon pompons. The CN and C2 groups play vital catalytic roles in the formation of carbon nanotubes and nanowires, guiding the precipitation and composite growth of carbon atoms at the interface between the Mo metal catalysts and diamond. This study demonstrated that heterostructures of diamond–carbon nanomaterials could be produced under high-power conditions, offering a new approach to integrating diamond and carbon nanomaterials. Full article
18 pages, 1179 KiB  
Article
Two-Stage Distributed Robust Optimal Allocation of Integrated Energy Systems under Carbon Trading Mechanism
by Ruicheng Dai, Xiang Zhang and Hongbo Zou
Processes 2024, 12(6), 1044; https://doi.org/10.3390/pr12061044 (registering DOI) - 21 May 2024
Abstract
The development of renewable energy and the construction of a comprehensive energy system with multiple complementary energy sources have gradually become the main direction of China’s energy development. As the penetration rate of renewable energy increases, the intermittent and fluctuating output of wind [...] Read more.
The development of renewable energy and the construction of a comprehensive energy system with multiple complementary energy sources have gradually become the main direction of China’s energy development. As the penetration rate of renewable energy increases, the intermittent and fluctuating output of wind and solar power has a more significant impact on the system. This article conducts research on the optimization configuration of integrated energy system (IES) considering photovoltaic output uncertainty under a ladder carbon trading mechanism. Firstly, a two-stage distributed robust optimization (DRO) configuration model for integrated energy system is established. In detail, a deterministic model aimed at minimizing investment costs is given in the first stage and an uncertainty model aimed at minimizing operating costs in the probability distribution of the worst scenario is built in the second stage. Then, a data-driven distributed robust optimization method is adopted to deal with the uncertainty of photovoltaic output using MATLAB software (R2020A). Finally, the column and constraint generation (C&CG) algorithm is used to solve the problem, and the optimal investment capacity and cost results of the integrated energy system considering demand response under a ladder carbon trading mechanism are obtained. Through analysis, the proposed method achieves a 5.54% reduction in carbon emission costs while maintaining nearly unchanged investment costs, thus balancing economic and environmental benefits. Additionally, the CCG algorithm can effectively improve computational efficiency and guarantee the optimality of the solution. Full article
(This article belongs to the Section Energy Systems)
27 pages, 734 KiB  
Article
Finally Digital Natives? Changes in Media Use among Science Students during the COVID-19 Pandemic
by Anna Henne, Philipp Möhrke, Johannes Huwer and Lars-Jochen Thoms
Educ. Sci. 2024, 14(6), 555; https://doi.org/10.3390/educsci14060555 (registering DOI) - 21 May 2024
Abstract
This study examines the development of pre-experiences with digital media at school and in university, creating and entertainment-oriented media use and attitudes towards digital media in the classroom among students in the first three years of study, particularly those enrolled in science courses, [...] Read more.
This study examines the development of pre-experiences with digital media at school and in university, creating and entertainment-oriented media use and attitudes towards digital media in the classroom among students in the first three years of study, particularly those enrolled in science courses, in times of the COVID-19 pandemic. Using a questionnaire adapted from Vogelsang et al. scales were calculated and PERMANOVAs, Kruskal-Wallis tests and post-hoc Dunn tests done shedding light on the influence of graduation year and semester of study as well as the difference between the current cohort and a pre-pandemic one. Results revealed significant shifts in digital experiences, particularly among students who were still attending school during the pandemic. Compared to colleagues without school experience during the pandemic, they showed a more frequent use of digital media for communication and collaboration. Moreover, a discernible trend of increasing digital experiences with academic progression at the university level was observed. A semester-by-semester comparison between a pre-pandemic cohort and the current study also showed an increase in the use of digital media at university. However, attitudes towards digital media in teaching exhibited a slight decrease between pre-pandemic and current cohorts. These findings underscore the imperative of integrating digital tools in educational settings to bolster digital literacy and foster effective digital learning experiences, thereby equipping students with the necessary skills to navigate an increasingly digitalized world. Full article
17 pages, 2934 KiB  
Article
Parallel Inversion of 3D Airborne Transient Electromagnetic Data Using an Approximate Jacobi Matrix
by Da Lei, Hao Ren, Ruo Wang, Zhongxing Wang and Changmin Fu
Remote Sens. 2024, 16(11), 1830; https://doi.org/10.3390/rs16111830 (registering DOI) - 21 May 2024
Abstract
In geophysical inversion issues, the Jacobian matrix computation takes the greatest time, and it is the most significant factor limiting the inversion’s calculation speed. We think that the correctness of the inverse problem is determined by the difference between the inversion data and [...] Read more.
In geophysical inversion issues, the Jacobian matrix computation takes the greatest time, and it is the most significant factor limiting the inversion’s calculation speed. We think that the correctness of the inverse problem is determined by the difference between the inversion data and the real data, not the precision of the gradient solution in each iteration. Based on this, we present an approximate computation approach for the Jacobian matrix that may rapidly solve the inverse issue by estimating the gradient information. In this research, the approximate gradient information is solved in each iteration process, and the approximate gradient is utilized for computation; nevertheless, the poor fitting of the evaluation data is correctly evaluated, and the inversion model that fits the criteria is achieved. We employed this approach of estimating the Jacobian matrix to invert the 3D airborne transient electromagnetic method (ATEM) on synthetic data, and it was able to significantly minimize the time necessary for the inversion while maintaining inversion accuracy. When the model mesh is more precise, this technique outperforms the previous way of finding the exact Jacobian matrix in terms of acceleration. Full article
13 pages, 532 KiB  
Article
Elevated Cardiac Troponin I as a Mortality Predictor in Hospitalised COVID-19 Patients
by Ieva Kubiliute, Jurgita Urboniene, Fausta Majauskaite, Edgar Bobkov, Linas Svetikas and Ligita Jancoriene
Medicina 2024, 60(6), 842; https://doi.org/10.3390/medicina60060842 (registering DOI) - 21 May 2024
Abstract
Background and Objectives: SARS-CoV-2 affects multiple organ systems, including the cardiovascular system, leading to immediate and long-term cardiovascular complications. Acute myocardial injury is one of the earliest and most common cardiac issues in the acute phase of COVID-19. This study aimed to evaluate [...] Read more.
Background and Objectives: SARS-CoV-2 affects multiple organ systems, including the cardiovascular system, leading to immediate and long-term cardiovascular complications. Acute myocardial injury is one of the earliest and most common cardiac issues in the acute phase of COVID-19. This study aimed to evaluate the prognostic value of cardiac troponin I (cTnI) levels in predicting in-hospital mortality among hospitalised COVID-19 patients. Materials and Methods: A retrospective observational cohort study included 2019 adult patients hospitalised with a confirmed COVID-19 infection stratified by cTnI levels on admission into three groups: <19 ng/L (1416 patients), 19–100 ng/L (431 patients), and >100 ng/L (172 patients). Myocardial injury was defined as blood serum cTnI levels increased above the 99th percentile upper reference limit. Depersonalised datasets were extracted from digital health records. Statistical analysis included multivariable binary logistic and Cox proportional hazards regressions. Results: Overall, 29.87% of patients experienced acute myocardial injury, which development was associated with age, male sex, chronic heart failure, arterial hypertension, obesity, and chronic kidney disease. Among patients with cTnI levels of 19–100 ng/L, the odds ratio for requiring invasive mechanical ventilation was 3.18 (95% CI 2.11–4.79) and, for those with cTnI > 100 ng/L, 5.38 (95% CI 3.26–8.88). The hazard ratio for in-hospital mortality for patients with cTnI levels of 19–100 ng/L was 2.58 (95% CI 1.83–3.62) and, for those with cTnI > 100 ng/L, 2.97 (95% CI 2.01–4.39) compared to patients with normal cTnI levels. Conclusions: Increased cardiac troponin I, indicating myocardial injury, on admission is associated with a more adverse clinical disease course, including a higher likelihood of requiring invasive mechanical ventilation and increased risk of in-hospital mortality. This indicates cardiac troponin I to be a beneficial biomarker for clinicians trying to identify high-risk COVID-19 patients, choosing the optimal monitoring and treatment strategy for these patients. Full article
17 pages, 640 KiB  
Article
Navigating the New Normal: The Role of Residents’ Involvement and Support in Sustainable Tourism Recovery
by Emrullah Erul, Abdullah Uslu, Kyle Maurice Woosnam, José António C. Santos, Kayode D. Aleshinloye and Manuel Alector Ribeiro
Sustainability 2024, 16(11), 4333; https://doi.org/10.3390/su16114333 (registering DOI) - 21 May 2024
Abstract
This study seeks to provide a nuanced understanding of how residents’ views on tourism impacts and their awareness of the pandemic’s effects shape their attitudes and, consequently, influence their involvement and support for tourism by integrating emotional solidarity, the knowledge–attitude–practices theory, and social [...] Read more.
This study seeks to provide a nuanced understanding of how residents’ views on tourism impacts and their awareness of the pandemic’s effects shape their attitudes and, consequently, influence their involvement and support for tourism by integrating emotional solidarity, the knowledge–attitude–practices theory, and social exchange theory. Furthermore, the study explores potential moderating factors such as gender and professional ties to tourism. Data were gathered from 545 residents of Manavgat, Turkey, following a cluster sampling scheme, confirming all ten hypotheses. The results reveal that residents’ knowledge and perceived positive impacts of tourism significantly forecast attitudes toward tourism and tourists, which explains their involvement and support. The results also demonstrate that residents with strong ties to tourism were more positive and involved than those with limited links to tourism. The complementary merger of theoretical frameworks enriches our understanding of residents’ support and involvement in tourism, shedding light on the intricacies of these relationships. Full article
19 pages, 2288 KiB  
Article
A Spatio-Temporal-Dependent Requirement of Sonic Hedgehog in the Early Development of Sclerotome-Derived Vertebrae and Ribs
by Nitza Kahane, Yael Zohara Dahan-Barda and Chaya Kalcheim
Int. J. Mol. Sci. 2024, 25(11), 5602; https://doi.org/10.3390/ijms25115602 (registering DOI) - 21 May 2024
Abstract
Derived from axial structures, Sonic Hedgehog (Shh) is secreted into the paraxial mesoderm, where it plays crucial roles in sclerotome induction and myotome differentiation. Through conditional loss-of-function in quail embryos, we investigate the timing and impact of Shh activity during early formation of [...] Read more.
Derived from axial structures, Sonic Hedgehog (Shh) is secreted into the paraxial mesoderm, where it plays crucial roles in sclerotome induction and myotome differentiation. Through conditional loss-of-function in quail embryos, we investigate the timing and impact of Shh activity during early formation of sclerotome-derived vertebrae and ribs, and of lateral mesoderm-derived sternum. To this end, Hedgehog interacting protein (Hhip) was electroporated at various times between days 2 and 5. While the vertebral body and rib primordium showed consistent size reduction, rib expansion into the somatopleura remained unaffected, and the sternal bud developed normally. Additionally, we compared these effects with those of locally inhibiting BMP activity. Transfection of Noggin in the lateral mesoderm hindered sternal bud formation. Unlike Hhip, BMP inhibition via Noggin or Smad6 induced myogenic differentiation of the lateral dermomyotome lip, while impeding the growth of the myotome/rib complex into the somatic mesoderm, thus affirming the role of the lateral dermomyotome epithelium in rib guidance. Overall, these findings underscore the continuous requirement for opposing gradients of Shh and BMP activity in the morphogenesis of proximal and distal flank skeletal structures, respectively. Future research should address the implications of these early interactions to the later morphogenesis and function of the musculo-skeletal system and of possible associated malformations. Full article
(This article belongs to the Collection Feature Papers in “Molecular Biology”)
22 pages, 20008 KiB  
Article
Investigation of the Influence of Powder Fraction on Tribological and Corrosion Characteristics of 86WC-10Co-4Cr Coating Obtained by HVOF Method
by Bauyrzhan Rakhadilov, Nazerke Muktanova, Dauir Kakimzhanov, Zarina Satbayeva, Leila Kassenova and Nurtoleu Magazov
Coatings 2024, 14(6), 651; https://doi.org/10.3390/coatings14060651 (registering DOI) - 21 May 2024
Abstract
Samples using powders of four different fractions, 15–20 μm, 20–30 μm, 30–40 μm and 40–45 μm, were fabricated to investigate the wear resistance, corrosion resistance and tribological properties of the 86WC-10Co-4Cr coating obtained using the HVOF method. The phase composition, microstructure and elemental [...] Read more.
Samples using powders of four different fractions, 15–20 μm, 20–30 μm, 30–40 μm and 40–45 μm, were fabricated to investigate the wear resistance, corrosion resistance and tribological properties of the 86WC-10Co-4Cr coating obtained using the HVOF method. The phase composition, microstructure and elemental distribution were analyzed using X-ray diffraction, scanning electron microscopy and energy dispersive spectroscopy techniques. The hardness was measured on a Vickers microhardness tester, the friction coefficient and wear rate were investigated using a tribometer, and the corrosion resistance was evaluated on an electrochemical corrosion station. The results showed that the cross-sectional microstructure of the coating is mainly represented by multifaceted WC crystals embedded in the Co-Cr matrix and the presence of lower tungsten carbides, particularly W2C. The 15–20 μm fraction particles were subjected to superheating, contributing to the decarburization process. The 20–30 µm and 30–40 µm sized particles prevented overheating and had a more homogeneous structure. The 40–45 µm powder fractions did not reach sufficient temperature for complete melting, resulting in the formation of pores in the coating layers. The phase composition of the coatings included WC, W2C and CoO phases. According to the results of the study, it was found that the optimal powder fraction for coating the 86WC-10Co-4Cr composition with improved characteristics is the fraction of the 20–30 µm sized particles. Full article
(This article belongs to the Special Issue Applications of Ceramic and Cermet Coatings)
36 pages, 4044 KiB  
Review
The Basic Requirement of Tight Junction Proteins in Blood-Brain Barrier Function and Their Role in Pathologies
by Sophie Dithmer, Ingolf E. Blasig, Paul A. Fraser, Zhihai Qin and Reiner F. Haseloff
Int. J. Mol. Sci. 2024, 25(11), 5601; https://doi.org/10.3390/ijms25115601 (registering DOI) - 21 May 2024
Abstract
This review addresses the role of tight junction proteins at the blood-brain barrier (BBB). Their expression is described, and their role in physiological and pathological processes at the BBB is discussed. Based on this, new approaches are depicted for paracellular drug delivery and [...] Read more.
This review addresses the role of tight junction proteins at the blood-brain barrier (BBB). Their expression is described, and their role in physiological and pathological processes at the BBB is discussed. Based on this, new approaches are depicted for paracellular drug delivery and diagnostics in the treatment of cerebral diseases. Recent data provide convincing evidence that, in addition to its impairment in the course of diseases, the BBB could be involved in the aetiology of CNS disorders. Further progress will be expected based on new insights in tight junction protein structure and in their involvement in signalling pathways. Full article
(This article belongs to the Special Issue The Tight Junction and Its Proteins: From Structure to Pathologies)
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