237 journals awarded Impact Factor
 
 
21 pages, 5721 KiB  
Systematic Review
Traditional In Situ Water Harvesting Practices and Agricultural Sustainability in Sub-Saharan Africa—A Meta-Analysis
by Meron Lakew Tefera, Giovanna Seddaiu and Alberto Carletti
Sustainability 2024, 16(15), 6427; https://doi.org/10.3390/su16156427 (registering DOI) - 27 Jul 2024
Abstract
Climate change severely impacts sub-Saharan Africa, which relies heavily on rainfed agriculture for food production. Variable and insufficient rainfall exacerbates food insecurity across the region. Traditional in situ water harvesting (IS_WH) practices enhance soil water-holding capacity, improve infiltration, and promote soil conservation. This [...] Read more.
Climate change severely impacts sub-Saharan Africa, which relies heavily on rainfed agriculture for food production. Variable and insufficient rainfall exacerbates food insecurity across the region. Traditional in situ water harvesting (IS_WH) practices enhance soil water-holding capacity, improve infiltration, and promote soil conservation. This meta-analysis of the peer-reviewed literature examines IS_WH practices’ effects on crop yield, soil moisture, runoff, and soil loss reduction across various rainfall conditions in sub-Saharan Africa. The analysis reveals that IS_WH practices significantly boost agricultural productivity, with a combined effect size showing a 71% increase in total crop yield. IS_WH practices also improve soil moisture retention by 59% and effectively reduce runoff by 53% and soil loss by 58.66%, demonstrating their robust water and soil conservation benefits. Despite their proven benefits, the adoption of IS_WH practices in sub-Saharan Africa is hindered by socioeconomic and institutional barriers, including limited technical knowledge, resource constraints, and inadequate extension services. By addressing these barriers, there is significant potential to scale up IS_WH practices, enhancing agricultural productivity and sustainability across the region. Such efforts are crucial for mitigating the impacts of climate change, ensuring food security, and promoting sustainable development in sub-Saharan Africa. Full article
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13 pages, 11690 KiB  
Article
Identification and Quantification of Extracellular Vesicles: Comparison of SDS-PAGE Analysis and Biosensor Analysis with QCM and IDT Chips
by Yaw-Jen Chang, Wen-Tung Yang and Cheng-Hsuan Lei
Biosensors 2024, 14(8), 366; https://doi.org/10.3390/bios14080366 (registering DOI) - 27 Jul 2024
Abstract
This study presents and compares two methods for identifying the types of extracellular vesicles (EVs) from different cell lines. Through SDS-PAGE analysis, we discovered that the ratio of CD63 to CD81 in different EVs is consistent and distinct, making it a reliable characteristic [...] Read more.
This study presents and compares two methods for identifying the types of extracellular vesicles (EVs) from different cell lines. Through SDS-PAGE analysis, we discovered that the ratio of CD63 to CD81 in different EVs is consistent and distinct, making it a reliable characteristic for recognizing EVs secreted by cancer cells. However, the electrophoresis and imaging processes may introduce errors in the concentration values, especially at lower concentrations, rendering this method potentially less effective. An alternative approach involves the use of quartz crystal microbalance (QCM) and electroanalytical interdigitated electrode (IDT) biosensors for EV type identification and quantification. The QCM frequency shift caused by EVs is directly proportional to their concentration, while electroanalysis relies on measuring the curvature of the I−V curve as a distinguishing feature, which is also proportional to EV concentration. Linear regression lines for the QCM frequency shift and the electroanalysis curvature of various EV types are plotted separately, enabling the estimation of the corresponding concentration for an unknown EV type on the graphs. By intersecting the results from both biosensors, the unknown EV type can be identified. The biosensor analysis method proves to be an effective means of analyzing both the type and concentration of EVs from different cell lines. Full article
(This article belongs to the Section Biosensors and Healthcare)
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22 pages, 1333 KiB  
Review
Applications of the Microalgae Chlamydomonas and Its Bacterial Consortia in Detoxification and Bioproduction
by María J. Torres, Carmen M. Bellido-Pedraza and Angel Llamas
Life 2024, 14(8), 940; https://doi.org/10.3390/life14080940 (registering DOI) - 27 Jul 2024
Abstract
The wide metabolic diversity of microalgae, their fast growth rates, and low-cost production make these organisms highly promising resources for a variety of biotechnological applications, addressing critical needs in industry, agriculture, and medicine. The use of microalgae in consortia with bacteria is proving [...] Read more.
The wide metabolic diversity of microalgae, their fast growth rates, and low-cost production make these organisms highly promising resources for a variety of biotechnological applications, addressing critical needs in industry, agriculture, and medicine. The use of microalgae in consortia with bacteria is proving valuable in several areas of biotechnology, including the treatment of various types of wastewater, the production of biofertilizers, and the extraction of various products from their biomass. The monoculture of the microalga Chlamydomonas has been a prominent research model for many years and has been extensively used in the study of photosynthesis, sulphur and phosphorus metabolism, nitrogen metabolism, respiration, and flagellar synthesis, among others. Recent research has increasingly recognised the potential of Chlamydomonas–bacteria consortia as a biotechnological tool for various applications. The detoxification of wastewater using Chlamydomonas and its bacterial consortia offers significant potential for sustainable reduction of contaminants, while facilitating resource recovery and the valorisation of microalgal biomass. The use of Chlamydomonas and its bacterial consortia as biofertilizers can offer several benefits, such as increasing crop yields, protecting crops, maintaining soil fertility and stability, contributing to CO2 mitigation, and contributing to sustainable agricultural practises. Chlamydomonas–bacterial consortia play an important role in the production of high-value products, particularly in the production of biofuels and the enhancement of H2 production. This review aims to provide a comprehensive understanding of the potential of Chlamydomonas monoculture and its bacterial consortia to identify current applications and to propose new research and development directions to maximise their potential. Full article
(This article belongs to the Special Issue Lipid Metabolism, Regulation and Biosynthesis of Microalgae)
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18 pages, 8044 KiB  
Article
Power and Energy Losses in Medium-Voltage Power Grids as a Function of Current Asymmetry—An Example from Poland
by Grzegorz Hołdyński, Zbigniew Skibko and Wojciech Walendziuk
Energies 2024, 17(15), 3706; https://doi.org/10.3390/en17153706 (registering DOI) - 27 Jul 2024
Abstract
In connection with the growing requirements regarding the quality and continuity of energy supply and the dynamic development of renewable energy sources, the need for a thorough analysis of factors affecting power and energy losses and the effectiveness of the MV network increases. [...] Read more.
In connection with the growing requirements regarding the quality and continuity of energy supply and the dynamic development of renewable energy sources, the need for a thorough analysis of factors affecting power and energy losses and the effectiveness of the MV network increases. One of the biggest challenges in managing power networks is the problem of load asymmetry. Load asymmetry can lead to numerous adverse phenomena, such as increased power losses, deterioration of the quality of energy supplied, and an increased risk of network failure. Despite various research on this issue, there is still a need for a more accurate understanding of mechanisms leading to the development of methods of minimizing these phenomena. The relationships describing power losses in lines and power transformers are widely known. However, most published analyzes assume the same load on each phase. If the asymmetrical load of the line already appears, such analysis is not based on the data of actual lines and applies to a homogeneous line with equal load along its entire length. Therefore, the authors decided to modify the method of calculating power losses so that they can be determined in a branched line loaded in many points, with knowledge of the current flowing into the line, its length, and the number of acceptances. This method allows for the determination of power losses in an innovative way, taking into account line load asymmetry. The use of relationships commonly available in the literature to determine power losses leads to errors of 5.54% (compared to the actual, measured losses). Taking into account both the asymmetry and multi-point loading in the method proposed by the authors allows us to limit this error to 3.91%. To estimate the impact of asymmetry on power losses in lines and power transformers, the authors performed field tests in the selected medium voltage power network. The increase in power losses determined on their basis caused by the asymmetry of the load currents obtained values from 0.03% to 4.78%. Using generally known methods of reducing asymmetry, these losses can be avoided, and therefore the energy transmission costs may be reduced, and the greenhouse gas emissions might be lowered. Full article
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14 pages, 4003 KiB  
Article
Farm Plot Boundary Estimation and Testing Based on the Digital Filtering and Integral Clustering of Seeding Trajectories
by Zhikai Ma, Shiwei Ma, Jianguo Zhao, Wei Wang and Helong Yu
Agriculture 2024, 14(8), 1238; https://doi.org/10.3390/agriculture14081238 (registering DOI) - 27 Jul 2024
Abstract
Farmland boundary data, an important basic data for the operation of agricultural automation equipment, has been widely studied by scholars from all over the world. However, the common methods of farmland boundary acquisition through sensors such as LiDAR and vision cameras combined with [...] Read more.
Farmland boundary data, an important basic data for the operation of agricultural automation equipment, has been widely studied by scholars from all over the world. However, the common methods of farmland boundary acquisition through sensors such as LiDAR and vision cameras combined with complex algorithms suffer from problems such as serious data drift, difficulty in eliminating noise, and inaccurate plot boundary data. In order to solve this problem, this study proposes a method for estimating the orientation dimensions of farmland based on the seeding trajectory. The method firstly calculates the curvature of the discrete data of the seeding trajectory; secondly, we innovatively use a low-pass filter and integral clustering to filter the curvature values and distinguish between straight lines and curves; and finally, the straight-line portion located at the edge of the seeding trajectory is fitted with a univariate linear fit to calculate the estimation of the farmland size orientation. As verified by the field experiments, the minimum linear error of the vertices is only 0.12m, the average error is 0.315m, and the overlapping rate of the plot estimation is 98.36% compared with the real boundary of the plot. Compared with LiDAR mapping, the average linear error of the vertices’ position is reduced by 50.2%, and the plot estimation overlap rate is increased by 2.21%. The experimental results show that this method has the advantage of high accuracy, fast calculation speed, and small calculation volume, which provides a simple and accurate method for constructing farmland maps, provides the digital data support for the operation of agricultural automation equipment, and has significance for farm digital mapping. Full article
(This article belongs to the Section Agricultural Technology)
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13 pages, 1542 KiB  
Review
Epigenetics Regulation in Responses to Abiotic Factors in Plant Species: A Systematic Review
by Geane Santos da Costa, Amanda Freitas Cerqueira, Carolina Reis de Brito, Marcelo Schramm Mielke and Fernanda Amato Gaiotto
Plants 2024, 13(15), 2082; https://doi.org/10.3390/plants13152082 (registering DOI) - 27 Jul 2024
Abstract
Plants have several mechanisms to adapt or acclimate to environmental stress. Morphological, physiological, or genetic changes are examples of complex plant responses. In recent years, our understanding of the role of epigenetic regulation, which encompasses changes that do not alter the DNA sequence, [...] Read more.
Plants have several mechanisms to adapt or acclimate to environmental stress. Morphological, physiological, or genetic changes are examples of complex plant responses. In recent years, our understanding of the role of epigenetic regulation, which encompasses changes that do not alter the DNA sequence, as an adaptive mechanism in response to stressful conditions has advanced significantly. Some studies elucidated and synthesized epigenetic mechanisms and their relationships with environmental change, while others explored the interplay between epigenetic modifications and environmental shifts, aiming to deepen our understanding of these complex processes. In this study, we performed a systematic review of the literature to analyze the progression of epigenetics studies on plant species’ responses to abiotic factors. We also aimed to identify the most studied species, the type of abiotic factor studied, and the epigenetic technique most used in the scientific literature. For this, a search for articles in databases was carried out, and after analyzing them using pre-established inclusion criteria, a total of 401 studies were found. The most studied species were Arabidopsis thaliana and Oryza sativa, highlighting the gap in studies of non-economic and tropical plant species. Methylome DNA sequencing is the main technique used for the detection of epigenetic interactions in published studies. Furthermore, most studies sought to understand the plant responses to abiotic changes in temperature, water, and salinity. It is worth emphasizing further research is necessary to establish a correlation between epigenetic responses and abiotic factors, such as extreme temperatures and light, associated with climate change. Full article
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16 pages, 3263 KiB  
Article
Influence of Adding Small Instream Wood on Fishes and Hydraulic Conditions in Channelized Agricultural Headwater Streams
by Eric J. Gates and Peter C. Smiley, Jr.
Fishes 2024, 9(8), 296; https://doi.org/10.3390/fishes9080296 (registering DOI) - 27 Jul 2024
Abstract
Instream wood is important for fish in headwater streams because it promotes the development of pool habitat and provides cover from predators during periods of low flow. The benefits of large instream wood (length > 1 m and diameter > 0.1 m) have [...] Read more.
Instream wood is important for fish in headwater streams because it promotes the development of pool habitat and provides cover from predators during periods of low flow. The benefits of large instream wood (length > 1 m and diameter > 0.1 m) have been extensively documented, but little is known about the influence of small instream wood (length ≤ 1 m or diameter ≤ 0.1 m) on fish communities and hydraulic conditions (i.e., water depth, water velocity, wetted width, discharge, pool area) in channelized agricultural headwater streams in North America and Europe. Understanding the influence of small instream wood will provide information that can guide the development of novel management strategies for fishes within these degraded streams. We conducted a two-part field experiment in the summer of 2011 in channelized agricultural headwater streams in central Ohio, consisting of an initial instream wood survey to document the amounts and types of instream wood found in these streams, and then conducted a before–after–control–impact experiment where we sampled fishes and hydraulic variables before and after the addition of small instream wood to pools. The instream wood survey documented that instream wood density ranged from 0 to 0.29 pieces/m2, small simple pieces were the most frequently occurring type of instream wood, and parallel was the most frequently occurring instream wood orientation. The amount of instream wood was greater (p < 0.05) in the treatment pools than the control pools after the small instream wood addition. No differences (p > 0.450) in fish community structure or hydraulic variables occurred between control and treatment pools before or after the addition of small instream wood. Our results suggest the addition of large instream wood might be needed to elicit a fish community response, and it is possible to add instream wood to channelized agricultural headwater streams without impeding the downstream water flow. Full article
(This article belongs to the Section Biology and Ecology)
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23 pages, 2156 KiB  
Review
IFNγ-Induced Bcl3, PD-L1 and IL-8 Signaling in Ovarian Cancer: Mechanisms and Clinical Significance
by Suprataptha U. Reddy, Fatema Zohra Sadia, Ales Vancura and Ivana Vancurova
Cancers 2024, 16(15), 2676; https://doi.org/10.3390/cancers16152676 (registering DOI) - 27 Jul 2024
Abstract
IFNγ, a pleiotropic cytokine produced not only by activated lymphocytes but also in response to cancer immunotherapies, has both antitumor and tumor-promoting functions. In ovarian cancer (OC) cells, the tumor-promoting functions of IFNγ are mediated by IFNγ-induced expression of Bcl3, PD-L1 and IL-8/CXCL8, [...] Read more.
IFNγ, a pleiotropic cytokine produced not only by activated lymphocytes but also in response to cancer immunotherapies, has both antitumor and tumor-promoting functions. In ovarian cancer (OC) cells, the tumor-promoting functions of IFNγ are mediated by IFNγ-induced expression of Bcl3, PD-L1 and IL-8/CXCL8, which have long been known to have critical cellular functions as a proto-oncogene, an immune checkpoint ligand and a chemoattractant, respectively. However, overwhelming evidence has demonstrated that these three genes have tumor-promoting roles far beyond their originally identified functions. These tumor-promoting mechanisms include increased cancer cell proliferation, invasion, angiogenesis, metastasis, resistance to chemotherapy and immune escape. Recent studies have shown that IFNγ-induced Bcl3, PD-L1 and IL-8 expression is regulated by the same JAK1/STAT1 signaling pathway: IFNγ induces the expression of Bcl3, which then promotes the expression of PD-L1 and IL-8 in OC cells, resulting in their increased proliferation and migration. In this review, we summarize the recent findings on how IFNγ affects the tumor microenvironment and promotes tumor progression, with a special focus on ovarian cancer and on Bcl3, PD-L1 and IL-8/CXCL8 signaling. We also discuss promising novel combinatorial strategies in clinical trials targeting Bcl3, PD-L1 and IL-8 to increase the effectiveness of cancer immunotherapies. Full article
(This article belongs to the Special Issue IFN-Gamma Signaling in Cancer)
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18 pages, 607 KiB  
Review
Sustainable Management and Advanced Nutrient Recovery from Biogas Energy Sector Effluents
by Magdalena Zielińska and Katarzyna Bułkowska
Energies 2024, 17(15), 3705; https://doi.org/10.3390/en17153705 (registering DOI) - 27 Jul 2024
Abstract
Anaerobic digestion (AD) is an effective technology for the sustainable management of organic agricultural waste, producing both biogas and nutrient-rich digestate. This study aims to review and evaluate different methods for obtaining valuable products from digestate, with a focus on innovative and sustainable [...] Read more.
Anaerobic digestion (AD) is an effective technology for the sustainable management of organic agricultural waste, producing both biogas and nutrient-rich digestate. This study aims to review and evaluate different methods for obtaining valuable products from digestate, with a focus on innovative and sustainable approaches. The main objectives are to identify effective technologies for the recovery of nutrients and organic matter, assess their environmental and economic impact and outline the challenges and prospects in this area. The review covers established techniques (with a technology readiness level (TRL) of six to nine, indicating their maturity from pilot to full scale) such as struvite precipitation and ammonia stripping, which are very effective in recovering nitrogen and phosphorus from digestate and converting it into valuable biofertilizers. Struvite, for example, offers an option for slow-release fertilizers that reduces dependence on synthetic fertilizers. A comparative analysis shows that ammonia stripping can efficiently capture nitrogen and produce fertilizer without harming the environment. New methods, such as microalgae cultivation, use digestate as a nutrient source for the production of biofuels and bioplastics, contributing to renewable energy and sustainable material production. The study also examines composting and vermicomposting, where digestate is converted into nutrient-rich soil conditioners that significantly improve soil health and fertility. The production of biochar through pyrolysis is highlighted for its benefits in improving soil properties and sequestering carbon, providing a dual benefit for waste management and climate change mitigation. Membrane technologies, including ultrafiltration (UF) and reverse osmosis (RO), are being investigated for their effectiveness in nutrient recovery, despite challenges such as membrane fouling and high operating costs. The study highlights the potential of these valorization processes to improve the sustainability and economic viability of AD systems and to align with circular economy principles. The results suggest that the continuous optimization of these technologies and the integration of recycling processes are crucial to overcome existing challenges and realize their full potential. Full article
(This article belongs to the Section B: Energy and Environment)
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27 pages, 1460 KiB  
Review
Rhizosphere Microbiomes Mediating Abiotic Stress Mitigation for Improved Plant Nutrition
by Bartholomew Saanu Adeleke, Parul Chaudhary, Modupe Stella Ayilara, Funmilola Mabel Ojo, Sakiru Morenikeji Erinoso, Viabhav Kumar Upadhayay, Adeyemi Isaiah Adeyemo and Saheed Adekunle Akinola
Ecologies 2024, 5(3), 375-401; https://doi.org/10.3390/ecologies5030024 (registering DOI) - 27 Jul 2024
Abstract
The extreme conditions linked with abiotic stresses have greatly affected soil and plant health. The diverse biochemical activities occurring in the soil environment have been attributed to shaping the dynamics of plant–soil microbiomes by contributing to microbial lifestyles and enhancing microbial functional properties [...] Read more.
The extreme conditions linked with abiotic stresses have greatly affected soil and plant health. The diverse biochemical activities occurring in the soil environment have been attributed to shaping the dynamics of plant–soil microbiomes by contributing to microbial lifestyles and enhancing microbial functional properties to boost plant tolerance to abiotic-induced stresses. Soil microbiomes play crucial roles in enhancing plant nutrition and abiotic stress management through diverse mechanisms. With the current insights into the use of engineered soil microbes as single or combined inoculants, their use has contributed to plant fitness and stability under different environmental stress conditions by activating plant defense mechanisms, enzyme production (lowering free radicals resulting in plant oxidative stress), protein regulation, and the production of growth factors. The detection of certain genes involved in the growth factors can underline microbial functions in mitigating plant stress. Hence, the projections for sustainable eco-friendly agriculture with the possible exploration of beneficial rhizosphere microbes to manage the effect of abiotic stress on plant nutrition remain critical points of discussion recently, with prospects for ensuring food security. Therefore, this review focuses on the impacts of soil microbiomes in abiotic stress mitigation for enhancing plant nutrition. Full article
(This article belongs to the Topic Marine Ecology, Environmental Stress and Management)
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12 pages, 291 KiB  
Article
Correlation of Adiponectin and Leptin with Anthropometrics and Behavioral and Physical Performance in Overweight and Obese Chinese College Students
by Jingyu Sun, Jiajia Chen and Antonio Cicchella
Biology 2024, 13(8), 567; https://doi.org/10.3390/biology13080567 (registering DOI) - 27 Jul 2024
Abstract
The aim of this study is to assess the relationship of leptin (LEP) and adiponectin (ADPN) with other circulating fat markers, physical capacity, behaviors, and anthropometric indices in a population of overweight and obese Chinese university students. LEP and ADPN levels, as well [...] Read more.
The aim of this study is to assess the relationship of leptin (LEP) and adiponectin (ADPN) with other circulating fat markers, physical capacity, behaviors, and anthropometric indices in a population of overweight and obese Chinese university students. LEP and ADPN levels, as well as behavioral, anthropometric, biochemical, and performance characteristics, were measured. Method: A total of 17 anthropometric parameters, 8 questionnaires (investigating quality of life, sleep, eating, perceived functioning, stress, and depression), 9 biochemical parameters, and 12 functional parameters were investigated. Results: In contrast to previous studies, our work found an unusually strong relationship between LEP and ADPN (r = 0.961, p = 0.000) that can be related to ethnicity. We also found that LEP and ADPN were associated with stress and bodily pain. A total of 12 anthropometric measures were also associated with LEP/ADNP levels. Moreover, LEP and ADPN were found to be related to lower limb, hand, and abdominal strength; blood pressure; and basic metabolism. However, we did not find associations with sleep; eating habits; or cardiovascular fitness, which was measured in the form of resting heart rate and VO2max. Conclusion: This study reveals new relationships of LEP and ADPN with selected anthropometric and behavioral parameters in obese Chinese college students. Full article
(This article belongs to the Special Issue Physiology and Pathophysiology of Obesity)
9 pages, 1383 KiB  
Brief Report
Changes in the Sensitivity of MCF-7 and MCF-7/DX Breast Cancer Cells to Cytostatic in the Presence of Metformin
by Justyna Płonka-Czerw, Luiza Żyrek and Małgorzata Latocha
Molecules 2024, 29(15), 3531; https://doi.org/10.3390/molecules29153531 (registering DOI) - 27 Jul 2024
Abstract
Multidrug resistance is a serious problem in modern medicine and the reason for the failure of various therapies. A particularly important problem is the occurrence of multidrug resistance in cancer therapies which affects many cancer patients. Observations on the effect of metformin—a well-known [...] Read more.
Multidrug resistance is a serious problem in modern medicine and the reason for the failure of various therapies. A particularly important problem is the occurrence of multidrug resistance in cancer therapies which affects many cancer patients. Observations on the effect of metformin—a well-known hypoglycemic drug used in the treatment of type 2 diabetes—on cancer cells indicate the possibility of an interaction of this substance with drugs already used and, as a result, an increase in the sensitivity of cancer cells to cytostatics. The aim of this study was to evaluate the effect of metformin on the occurrence of multidrug resistance of breast cancer cells. The MCF-7-sensitive cell line and the MCF-7/DX cytostatic-resistant cell line were used for this study. WST-1 and LDH assays were used to evaluate the effects of metformin and doxorubicin on cell proliferation and viability. The effect of metformin on increasing the sensitivity of MCF-7 and MCF-7/DX cells to doxorubicin was evaluated in an MDR test. The participation of metformin in increasing the sensitivity of resistant cells to the effect of the cytostatic (doxorubicin) has been demonstrated. Full article
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10 pages, 851 KiB  
Communication
Seroprevalence of IgG and IgM Antibodies against Toxoplasma gondii in Dogs in Greece
by Georgios Sioutas, Athanasios I. Gelasakis, Isaia Symeonidou, Constantina N. Tsokana, Panagiotis Alevizos, Dimitra Bitchava and Elias Papadopoulos
Vet. Sci. 2024, 11(8), 339; https://doi.org/10.3390/vetsci11080339 (registering DOI) - 27 Jul 2024
Abstract
Toxoplasmosis, caused by the protozoan Toxoplasma gondii, is a zoonotic disease that affects various animal species, including dogs, that can serve as sentinels for indirectly estimating the environmental contamination. The current study aimed to determine the seroprevalence of T. gondii IgG and [...] Read more.
Toxoplasmosis, caused by the protozoan Toxoplasma gondii, is a zoonotic disease that affects various animal species, including dogs, that can serve as sentinels for indirectly estimating the environmental contamination. The current study aimed to determine the seroprevalence of T. gondii IgG and IgM antibodies in dogs across different regions of Greece and assess their living area as a potential risk factor. In total, 1282 blood samples were collected from dogs in urban and rural areas of Greece, including Attica and Thessaloniki. Serum samples were tested for T. gondii-specific IgG and IgM antibodies using an indirect immunofluorescent antibody test. A chi-square test was performed to assess the association between seropositivity for T. gondii and geographical location (urban/rural). The overall T. gondii seroprevalence was 47.6%, while the seroprevalence of IgG and IgM antibodies was 34.3% and 22.2%, respectively. Dogs from rural areas exhibited a significantly higher seroprevalence (53.8%) than those from urban areas (43.9%) (p < 0.001), with the estimated odds ratio being equal to 1.49 (95% CI, 1.18 to 1.65) and the relative risk increased by 22.4%. Dogs in Greece are highly exposed to T. gondii, particularly in rural areas. Measures to prevent canine infections are necessary, and basic hygiene practices, such as hand washing after petting dogs, are required to reduce human infection risk and safeguard public health. Full article
(This article belongs to the Special Issue Parasites and Reproduction: Interactions in Domestic Animals)
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19 pages, 4438 KiB  
Article
Automatic Quality Assessment of Pork Belly via Deep Learning and Ultrasound Imaging
by Tianshuo Wang, Huan Yang, Chunlei Zhang, Xiaohuan Chao, Mingzheng Liu, Jiahao Chen, Shuhan Liu and Bo Zhou
Animals 2024, 14(15), 2189; https://doi.org/10.3390/ani14152189 (registering DOI) - 27 Jul 2024
Abstract
Pork belly, prized for its unique flavor and texture, is often overlooked in breeding programs that prioritize lean meat production. The quality of pork belly is determined by the number and distribution of muscle and fat layers. This study aimed to assess the [...] Read more.
Pork belly, prized for its unique flavor and texture, is often overlooked in breeding programs that prioritize lean meat production. The quality of pork belly is determined by the number and distribution of muscle and fat layers. This study aimed to assess the number of pork belly layers using deep learning techniques. Initially, semantic segmentation was considered, but the intersection over union (IoU) scores for the segmented parts were below 70%, which is insufficient for practical application. Consequently, the focus shifted to image classification methods. Based on the number of fat and muscle layers, a dataset was categorized into three groups: three layers (n = 1811), five layers (n = 1294), and seven layers (n = 879). Drawing upon established model architectures, the initial model was refined for the task of learning and predicting layer traits from B-ultrasound images of pork belly. After a thorough evaluation of various performance metrics, the ResNet18 model emerged as the most effective, achieving a remarkable training set accuracy of 99.99% and a validation set accuracy of 96.22%, with corresponding loss values of 0.1478 and 0.1976. The robustness of the model was confirmed through three interpretable analysis methods, including grad-CAM, ensuring its reliability. Furthermore, the model was successfully deployed in a local setting to process B-ultrasound video frames in real time, consistently identifying the pork belly layer count with a confidence level exceeding 70%. By employing a scoring system with 100 points as the threshold, the number of pork belly layers in vivo was categorized into superior and inferior grades. This innovative system offers immediate decision-making support for breeding determinations and presents a highly efficient and precise method for assessment of pork belly layers. Full article
(This article belongs to the Special Issue Genetic Improvement in Pigs)
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18 pages, 10935 KiB  
Article
Optimization of Discrete Element Method Model to Obtain Stable and Reliable Numerical Results of Mechanical Response of Granular Materials
by Yuyu Zhang and Li Li
Minerals 2024, 14(8), 758; https://doi.org/10.3390/min14080758 (registering DOI) - 27 Jul 2024
Abstract
The discrete element method (DEM) is largely used to simulate the geotechnical behavior of granular materials. However, numerical modeling with this type of code is expensive and time consuming, especially when fine particles are involved. This leads researchers to make use of different [...] Read more.
The discrete element method (DEM) is largely used to simulate the geotechnical behavior of granular materials. However, numerical modeling with this type of code is expensive and time consuming, especially when fine particles are involved. This leads researchers to make use of different approaches to shorten the time of calculation without verifying the stability and reliability of numerical results, even though a compromise between the time of calculation and accuracy is commonly claimed. The particle size distribution (PSD) curve of studied granular material is completely ignored or arbitrarily cut. It is unclear if the ensued numerical results are still representative of the studied granular materials. Additionally, one can see a large number of numerical models established on a basis of calibration by ignoring the physical meaning and even measured values of some model parameters. The representativeness and reliability of the obtained numerical results are questionable. All these partly contribute to reducing the public’s confidence in numerical modeling. In this study, a methodology is illustrated to obtain an optimal DEM model, which minimizes the time of calculation and ensures stable and reliable numerical results for the mechanical behavior of a waste rock. The results indicate that the PSD curve of the studied waste rock can indeed be cut by excluding a portion of fine particles, while the Young’s modulus of the waste rock particles can also be decreased to accelerate the numerical calculations. A physical explanation of why the time of calculation can be shortened by reducing the Young’s modulus of waste rock particles is provided for the first time. Overall, the PSD cut, reduction in Young’s modulus, and time step must be determined through sensitivity analyses to ensure stable and reliable results with the shortest time of calculation. In addition, it is important to minimize the number of model parameters determined through the process of calibration, especially for those having physical meanings. In this study, the only model parameter having a clear physical meaning but difficult to measure is the rolling resistance coefficient for repose angle tests on the studied waste rock. Its value has to be obtained through a process of calibration against some experimental results. The validity and predictability of the calibrated numerical model have been successfully verified against additional experimental results. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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19 pages, 266 KiB  
Article
Social Emotional Learning in Teacher Education: Biographical Narrative as a Method for Professional Development
by Maayan Shalev and Stella Gidalevich
Educ. Sci. 2024, 14(8), 821; https://doi.org/10.3390/educsci14080821 (registering DOI) - 27 Jul 2024
Abstract
Social emotional learning (SEL) of teachers is crucial both to teachers and their students. Thus, teachers’ professional development should focus on cognitive, emotional, and social skills in order to promote teachers’ identity formation. Teacher professional development is a life-long process that begins in [...] Read more.
Social emotional learning (SEL) of teachers is crucial both to teachers and their students. Thus, teachers’ professional development should focus on cognitive, emotional, and social skills in order to promote teachers’ identity formation. Teacher professional development is a life-long process that begins in teachers’ education. The Biographical Narrative, the story about our lives, was chosen as a method with the potential to promote SEL. Eighteen preservice teachers participated in a workshop focusing on emotional and social skills as part of professional development and shared their Biographical Narrative with the group. Data from the reflections of 12 participants were collected and analyzed qualitatively. The purpose of the study was to understand preservice teachers’ perceptions about their professional development, and the contribution of the Biographical Narrative to the social emotional learning of the tellers, the listeners, and the group. The findings revealed that the participants related to cognitive, emotional, and social aspects of development. The developmental process occurs throughout all stages of the method—planning, performance, and reflection. In addition, the Biographical Narrative influenced not only the tellers, but also the listeners and the group. Implications are discussed regarding teachers’ professional development as preservice teachers and as teachers in their work in schools. Full article
29 pages, 1309 KiB  
Review
Alpha Synuclein Toxicity and Non-Motor Parkinson’s
by Gabriella M. Mazzotta and Carmela Conte
Cells 2024, 13(15), 1265; https://doi.org/10.3390/cells13151265 (registering DOI) - 27 Jul 2024
Abstract
Parkinson’s disease (PD) is a common multisystem neurodegenerative disorder affecting 1% of the population over the age of 60 years. The main neuropathological features of PD are the loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and the presence of [...] Read more.
Parkinson’s disease (PD) is a common multisystem neurodegenerative disorder affecting 1% of the population over the age of 60 years. The main neuropathological features of PD are the loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and the presence of alpha synuclein (αSyn)-rich Lewy bodies both manifesting with classical motor signs. αSyn has emerged as a key protein in PD pathology as it can spread through synaptic networks to reach several anatomical regions of the body contributing to the appearance of non-motor symptoms (NMS) considered prevalent among individuals prior to PD diagnosis and persisting throughout the patient’s life. NMS mainly includes loss of taste and smell, constipation, psychiatric disorders, dementia, impaired rapid eye movement (REM) sleep, urogenital dysfunction, and cardiovascular impairment. This review summarizes the more recent findings on the impact of αSyn deposits on several prodromal NMS and emphasizes the importance of early detection of αSyn toxic species in biofluids and peripheral biopsies as prospective biomarkers in PD. Full article
(This article belongs to the Special Issue Molecular Insights into Neurodegenerative Diseases)
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19 pages, 5555 KiB  
Article
The Role of Emotion Regulation and Awareness in Psychosocial Stress: An EEG-Psychometric Correlational Study
by Roberta A. Allegretta, Katia Rovelli and Michela Balconi
Healthcare 2024, 12(15), 1491; https://doi.org/10.3390/healthcare12151491 (registering DOI) - 27 Jul 2024
Abstract
Background: In stressful situations, to overcome unpleasant emotions, individuals try to manage stress through emotion regulation strategies such as cognitive reappraisal, interoception, and mindfulness. Method: 26 healthy adults underwent a modified version of the Trier Social Stress Test (named the Social Stress Test, [...] Read more.
Background: In stressful situations, to overcome unpleasant emotions, individuals try to manage stress through emotion regulation strategies such as cognitive reappraisal, interoception, and mindfulness. Method: 26 healthy adults underwent a modified version of the Trier Social Stress Test (named the Social Stress Test, SST) while their electrophysiological (EEG) activity was monitored. Participants also completed self-report questionnaires prior to this, including the Five-Facet Mindfulness Questionnaire (FFMQ), Multidimensional Assessment of Interoceptive Awareness (MAIA), Emotional Regulation of Others and Self (EROS), and the Interpersonal Reactivity Index (IRI). Three brain regions of interest (ROIs) were considered in the EEG data processing: frontal, temporo-central, and parieto-occipital. Correlational analyses were performed between psychometric scales and EEG band power spectral values for each ROI. Results: The results showed positive correlations between interoceptive awareness, mindfulness, and high-frequency EEG bands (beta, alpha, gamma) over frontal ROI, indicating enhanced cognitive processing and emotional regulation. Conversely, emotion regulation and empathy measures correlated positively with low-frequency EEG bands (delta, theta), associated with improved social cognition and top-down regulatory processes. Conclusions: These findings suggest that EEG correlations of the stress response are connected to emotion regulation mechanisms, emphasizing the importance of body state awareness in managing stress and emotions for overall well-being and quality of life. Full article
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19 pages, 3104 KiB  
Article
The Anti-Inflammatory Effects and Mechanism of the Submerged Culture of Ophiocordyceps sinensis and Its Possible Active Compounds
by Hsien-Chi Huang, Yu-Juan Shi, Thuy-Lan-Thi Vo, Tai-Hao Hsu and Tuzz-Ying Song
J. Fungi 2024, 10(8), 523; https://doi.org/10.3390/jof10080523 (registering DOI) - 27 Jul 2024
Abstract
The pharmacological effects of the fruiting body of Ophiocordyceps sinensis (O. sinensis) such as antioxidant, anti-virus, and immunomodulatory activities have already been described, whereas the anti-inflammatory effects and active components of the submerged culture of O. sinesis (SCOS) still need to be [...] Read more.
The pharmacological effects of the fruiting body of Ophiocordyceps sinensis (O. sinensis) such as antioxidant, anti-virus, and immunomodulatory activities have already been described, whereas the anti-inflammatory effects and active components of the submerged culture of O. sinesis (SCOS) still need to be further verified. This study aimed to investigate the active compounds in the fermented liquid (FLOS), hot water (WEOS), and 50–95% (EEOS-50, EEOS-95) ethanol extracts of SCOS and their anti-inflammatory effects and potential mechanisms in lipopolysaccharide (LPS)-stimulated microglial BV2 cells. The results demonstrated that all of the SCOS extracts could inhibit NO production in BV2 cells. EEOS-95 exhibited the strongest inhibitory effects (71% inhibitory ability at 500 µg/mL), and its ergosterol, γ-aminobutyric acid (GABA), total phenolic, and total flavonoid contents were significantly higher than those of the other extracts (18.60, 18.60, 2.28, and 2.14 mg/g, p < 0.05, respectively). EEOS-95 also has a strong inhibitory ability against IL-6, IL-1β, and TNF-α with an IC50 of 617, 277, and 507 µg/mL, respectively, which is higher than that of 1 mM melatonin. The anti-inflammatory mechanism of EEOS-95 seems to be associated with the up-regulation of PPAR-γ/Nrf-2/HO-1 antioxidant-related expression and the down-regulation of NF-κB/COX-2/iNOS pro-inflammatory expression signaling. In summary, we demonstrated that EEOS-95 exhibits neuroinflammation-mediated neurodegenerative disorder activities in LPS-induced inflammation in brain microglial cells. Full article
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12 pages, 3276 KiB  
Article
Analysis of the Potential Distribution of Shoot Blight of Larch in China Based on the Optimized MaxEnt and Biomod2 Ensemble Models
by Xiuyun Zhang, Wenhui Wu and Yingmei Liang
Forests 2024, 15(8), 1313; https://doi.org/10.3390/f15081313 (registering DOI) - 27 Jul 2024
Abstract
Shoot blight of larch caused by Neofusicoccum laricinum (Sawada) Y. Hattori & C. Nakash poses a significant threat to the growth and development of larch plantations and is among the most devastating diseases of forest trees. Its consecutive occurrence can cause serious damage [...] Read more.
Shoot blight of larch caused by Neofusicoccum laricinum (Sawada) Y. Hattori & C. Nakash poses a significant threat to the growth and development of larch plantations and is among the most devastating diseases of forest trees. Its consecutive occurrence can cause serious damage and even death of the host plant. Analyzing the geographical distribution patterns of shoot blight of larch in China based on the optimized maximum entropy (MaxEnt) and Biomod2 ensemble (EM) models and recognizing the environmental factors limiting the spread of this disease could provide a reasonable basis for its control. The potential geographical distribution areas of shoot blight of larch were predicted using occurrence data and environmental variables. The area under the receiver operating characteristic (ROC) curve (AUC) was employed to compare the predictive performance of the optimized MaxEnt and Biomod2 ensemble models. Our results showed that both models had a prominent performance in predicting the potential distribution of shoot blight of larch, with the latter performing slightly better based on the AUC than the former. The potentially suitable areas for shoot blight of larch, as predicted by both the MaxEnt and Biomod2 ensemble models, were similarly distributed, mainly in Northern China, including Heilongjiang, Jilin, Liaoning, and Northeastern Inner Mongolia. The environmental variables significantly limiting the distribution of shoot blight of larch identified using the jackknife method and Pearson’s correlation analysis included the annual mean temperature, annual precipitation, precipitation of the wettest quarter, mean temperature of the warmest quarter, and elevation. This research offers a theoretical basis for rationally delineating potential sites invaded by shoot blight of larch, strengthening the detection and quarantine in critical areas, formulating timely effective control measures, and establishing conservation measures for larch resources. Full article
(This article belongs to the Section Forest Health)
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14 pages, 5615 KiB  
Article
CaWRKY22b Plays a Positive Role in the Regulation of Pepper Resistance to Ralstonia solanacearum in a Manner Associated with Jasmonic Acid Signaling
by Lanping Shi, Yuemin Fan, Yingjie Yang, Shuangshuang Yan, Zhengkun Qiu, Zhiqin Liu and Bihao Cao
Plants 2024, 13(15), 2081; https://doi.org/10.3390/plants13152081 (registering DOI) - 27 Jul 2024
Abstract
As important transcription factors, WRKYs play a vital role in the defense response of plants against the invasion of multiple pathogens. Though some WRKY members have been reported to participate in pepper immunity in response to Ralstonia solanacearum infection, the functions of the [...] Read more.
As important transcription factors, WRKYs play a vital role in the defense response of plants against the invasion of multiple pathogens. Though some WRKY members have been reported to participate in pepper immunity in response to Ralstonia solanacearum infection, the functions of the majority of WRKY members are still unknown. Herein, CaWRKY22b was cloned from the pepper genome and its function against R. solanacearum was analyzed. The transcript abundance of CaWRKY22b was significantly increased in response to the infection of R. solanacearum and the application of exogenous methyl jasmonate (MeJA). Subcellular localization assay in the leaves of Nicotiana benthamiana showed that CaWRKY22b protein was targeted to the nuclei. Agrobacterium-mediated transient expression in pepper leaves indicated that CaWRKY22b overexpression triggered intensive hypersensitive response-like cell death, H2O2 accumulation, and the up-regulation of defense- and JA-responsive genes, including CaHIR1, CaPO2, CaBPR1, and CaDEF1. Virus-induced gene silencing assay revealed that knock-down of CaWRKY22b attenuated pepper’s resistance against R. solanacearum and the up-regulation of the tested defense- and jasmonic acid (JA)-responsive genes. We further assessed the role of CaWRKY22b in modulating the expression of JA-responsive CaDEF1, and the result demonstrated that CaWRKY22b trans-activated CaDEF1 expression by directly binding to its upstream promoter. Collectively, our results suggest that CaWRKY22b positively regulated pepper immunity against R. solanacearum in a manner associated with JA signaling, probably by modulating the expression of JA-responsive CaDEF1. Full article
(This article belongs to the Special Issue Plant–Microbe Interaction)
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15 pages, 732 KiB  
Review
The Experiences and Perspectives of Persons with Prostate Cancer and Their Partners: A Qualitative Evidence Synthesis Using Meta-Ethnography
by Seidu Mumuni, Claire O’Donnell and Owen Doody
Healthcare 2024, 12(15), 1490; https://doi.org/10.3390/healthcare12151490 (registering DOI) - 27 Jul 2024
Abstract
Prostate cancer affects one in nine men, so understanding patients’ and their partners experiences is crucial for developing effective treatments. The purpose of this review was to synthesis and report the experiences and views of persons with prostate cancer and their partners. Methods: [...] Read more.
Prostate cancer affects one in nine men, so understanding patients’ and their partners experiences is crucial for developing effective treatments. The purpose of this review was to synthesis and report the experiences and views of persons with prostate cancer and their partners. Methods: A qualitative evidence synthesis (QES) was conducted following the eMERGe reporting guideline. Six databases were searched for the relevant literature, and the Critical Appraisal Skills Program (CASP) tool was used for quality appraisal. Results: A total of 1372 papers were identified, and 36 met the inclusion criteria. Four themes emerged: quality of life, relationships and dynamics, treatment journey and survivorship and aftercare. Conclusions: Prostate cancer’s impact on patients and partners is significant, requiring comprehensive support, holistic care, tailored assistance, and research into therapies to minimize adverse effects and address emotional distress and relationship strain. Prostate cancer treatment causes physical changes, triggering feelings of loss and grief, and affects coping mechanisms. Drawing on emotional support and education is vital for boosting confidence and resilience, as many patients and partners face fears of recurrence and lifestyle changes, highlighting the need for tailored information and presurgery support. Full article
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12 pages, 3965 KiB  
Article
Influence of Mutations on Physicochemical Properties of Spike Proteins from Prototypical SARS-CoV-2 Variants of Concern Detected in Amazonian Countries
by Adriana Conceição B. Silva and Carlos Alberto M. Carvalho
Microbiol. Res. 2024, 15(3), 1334-1345; https://doi.org/10.3390/microbiolres15030090 (registering DOI) - 27 Jul 2024
Abstract
Since the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the viral spike protein (S) has become a target to describe appropriate epitopes for vaccine development and to carry out epidemiological surveillance, especially regarding the variants of concern (VOCs). This study aimed [...] Read more.
Since the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the viral spike protein (S) has become a target to describe appropriate epitopes for vaccine development and to carry out epidemiological surveillance, especially regarding the variants of concern (VOCs). This study aimed to evaluate the influence of mutations on physicochemical properties of S proteins from prototypical SARS-CoV-2 VOCs detected in Amazonian countries. Using multiple computational tools, seven VOCs (B.1.1.7/P.1/B.1.617.2/BA.1/BA.2/BA.4/BA.5) were identified and compared to the ancestral lineage of the virus (B). In all variants, most amino acids were nonpolar; among the polar amino acids, B.1.617.2/BA.1/BA.2/BA.4/BA.5 presented a slightly higher proportion of basic residues and a lower proportion of neutral residues. Unlike B.1.1.7/P.1/B.1.617.2, BA.1/BA.2 had a greater content of secondary structures, such as α-helices and β-sheets. Regarding post-translational modifications, BA.2/BA.4/BA.5 presented fewer glycosylations and phosphorylations. Finally, a more prominent antigenic propensity in the N-terminal domain of BA.2/BA.4/BA.5 and in the receptor-binding domain of B.1.617.2/BA.4/BA.5 was observed. In conclusion, the omicron variants of SARS-CoV-2 presented greater sequence variability in S proteins compared to the other VOCs, influencing structural aspects that can potentially modulate its interaction with cellular receptors and recognition by the immune system. Full article
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