bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System
Authors: Araque Juan Gabriel , Angel Luis , Viola Jairo , Chen Yangquan
Published: April 2024

The use of a digital twin as an enabling technology for industry 4.0 provides control systems engineers with novel tools for modelling, designing, and controlling complex systems, providing a deep understanding of the physical asset based not only on its physics but also the real system’s response. It is particularly critical for uniformity temperature control applications, where providing a reasonable model of the system’s diffusion is always affected by the physical behavior of the system’s components required for heating, cooling, or power distribution. In this paper, a digital twin is used to represent a multivariable thermoelectric system employed for temperature uniformity distribution control with potential applications in semiconductor manufacturing. The modelling employs a five-step methodological framework consisting of the stages: target system definition, system description, multiphysics and data-driven simulation, behavioral matching, and implementation to represent the system’s temperature distribution accurately. The temperature distribution is measured using an infrared thermal camera to perform model behavioral matching on heating and cooling temperature uniformity applications. The obtained results indicated that using digital twins not only increases the accuracy of the system’s representation but can also provide the system with novel information that can be leveraged for the design and implementation of smart control systems.
Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring
Authors: Shabbir Noman , Vassiljeva Kristina , Nourollahi Hokmabad Hossein , Husev Oleksandr , Petlenkov Eduard , Belikov Juri
Published: April 2024

Non-intrusive load monitoring (NILM) has emerged as a pivotal technology in energy management applications by enabling precise monitoring of individual appliance energy consumption without the requirements of intrusive sensors or smart meters. In this technique, the load disaggregation for the individual device is accrued by the recognition of their current signals by employing machine learning (ML) methods. This research paper conducts a comprehensive comparative analysis of various ML techniques applied to NILM, aiming to identify the most effective methodologies for accurate load disaggregation. The study employs a diverse dataset comprising high-resolution electricity consumption data collected from an Estonian household. The ML algorithms, including deep neural networks based on long short-term memory networks (LSTM), extreme gradient boost (XgBoost), logistic regression (LR), and dynamic time warping with K-nearest neighbor (DTW-KNN) are implemented and evaluated for their performance in load disaggregation. Key evaluation metrics such as accuracy, precision, recall, and F1 score are utilized to assess the effectiveness of each technique in capturing the nuanced energy consumption patterns of diverse appliances. Results indicate that the XgBoost-based model demonstrates superior performance in accurately identifying and disaggregating individual loads from aggregated energy consumption data. Insights derived from this research contribute to the optimization of NILM techniques for real-world applications, facilitating enhanced energy efficiency and informed decision-making in smart grid environments.
Novel AMI in Zigbee Satellite Network Based on Heterogeneous Wireless Sensor Network for Global Machine-to-Machine Connectivity
Authors: Wu Chia-Lun , Lu Tsung-Tao , Lee Chin-Tan , Sun Jwo-Shiun , Lin Hsin-Piao , Hwang Yuh-Shyan , Sung Wen-Tsai
Published: April 2024

This study endeavored to enhance the efficiency and utility of microcomputer meters. In the past, their role was predominantly confined to remote meter reading, entailing high construction and communication transmission costs, coupled with subsequent maintenance and operational expenditures. These factors collectively impacted the enthusiasm of various stakeholders to invest in this realm. Hence, in alignment with the smart city development initiative, the natural gas industry has pioneered the establishment of an advanced metering infrastructure with heterogeneous wireless sensor networks (HWSNs) at its core. This visionary leap incorporates global machine-to-machine connectivity (G-M2MC) technology, interconnecting all facets of its operations, thereby positioning itself as a trailblazer within the industry. While advancing this endeavor, the project’s scheduling aligns with the enterprise’s sustainability goals in the early stages of digital transformation. This strategic allocation of resources is responsive to government policies and aspires to cultivate a digitally connected smart green energy hub, thereby expediting the transformation of the living environment. The objective is to provide a stable, secure, cost-effective, and reliable system that can be shared among peers. Furthermore, this study delved into the analysis of congestion avoidance in intelligent Zigbee satellite transport networks based on the HWSNs-GM2MC of non-synchronous satellite orbit system (NGSO) pivotal technologies, utilizing them to integrate the smart LNGas management system (SGMS). Concurrently, it developed application services through the smart meter application interface (SMAPI), distinct from conventional microcomputer meters. However, it is imperative to acknowledge that cloud computing, while processing sensitive data, grapples with issues of latency, privacy, efficiency, power consumption, and zero-trust security risk information management and ethical authority management capabilities in the defense of disaster relief responses.
Selecting Suitable Tree Species for Direct Seeding to Restore Forest Ecosystems in Northern Thailand
Authors: Naruangsri Khuanphirom , Pathom-aree Wasu , Elliott Stephen , Tiansawat Pimonrat
Published: April 2024

To upscale restoration of tropical forest ecosystems, direct seeding—sowing seeds directly into the ground—is potentially a more cost-effective technique than tree planting. However, its success is limited by seed predation, the harshness of environmental conditions on restoration sites and particularly by a lack of information about suitable tree species. Therefore, this study tested the suitability of 23 native forest tree species for direct seeding, to restore a biodiversity-rich, upland, evergreen forest in northern Thailand. Three replicate seed batches of each species were sown randomly in two degraded sites and in a tree nursery under controlled conditions. Seed removal and germination were monitored weekly until no further germination had occurred for more than a month. Subsequently, seedling yield, growth and species performance score were also monitored at appropriate intervals. Nine months after sowing, seed removal differed significantly among species but was generally low, with a cross-species average of 3.4% (±0.5 SE). Seed size was negatively correlated with seed removal. Eight species failed to germinate. Seed germination percentage varied widely among species. Cross-species average germination of the 15 species that germinated was 25% (±6.2 SE). Two species (Adenanthera microsperma and Alangium kurzii) were ranked as having high germination (>50%), five species (Choerospondias axillaris, Spondias pinnata, Diospyros glandulosa, Melia azedarach and Phyllanthus emblica) had medium germination (20–50%) and eight species had low germination (<20%). Following the first dry season, two of the fifteen germinated species failed to establish. Germination and establishment were influenced by seed size, seed storage behavior and successional status. A. microsperma, S. pinnata and C. axillaris are recommended for direct seeding based on their high species performance index values. This study further concluded that selecting desiccation-tolerant seeds, particularly those with medium-to-large sizes, could increase the chances of successful seedling establishment.
The Impacts of Sunlight on the Lichen Scots Pine Forest Community
Authors: Fałowska Patrycja , Dziurowicz Patrycja , Waszkiewicz Karolina , Wietrzyk-Pełka Paulina , Węgrzyn Michał Hubert
Published: April 2024

The habitat of the lichen Scots pine forest is currently one of the communities that requires attention and active protection due to its rapid disappearance. In our study, we identified factors that can be modified to preserve this habitat. The primary focus of our research was on the significance of tree height and sunlight in fostering the development of a lichen-rich layer within the lichen Scots pine forest. Additionally, we investigated the environmental factors influencing the presence of specific species of lichens and bryophytes, including those that form communities and those that displace species characteristic of the lichen Scots pine forest community. Our study was conducted in Bory Tucholskie National Park (N-W Poland) using 20 experimental sites and 248 point-frame plots from spring 2021 to winter 2022. Fieldwork involved species surveys, measurements of photosynthetic activity in lichens and bryophytes, and collection of environmental data. Through parametric testing, modeling, and mapping, our main findings confirmed that light availability, influenced by tree height, is a critical factor in maintaining a well-preserved lichen-rich layer and facilitating habitat reintroduction.
Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model
Authors: Ma Siyuan , Shao Xiaoyi , Xu Chong
Published: April 2024

Efficient analysis of non-susceptibility to landslides targets regions with minimal or zero landslide probability, thereby obviating the need to estimate the likelihood for low-susceptibility zones. This study assesses the effectiveness of the quantile non-linear (QNL) model in delineating the non-susceptibility of landslides in China through a topographic index. The topographic index encompassed slope angle and topographic relief, which are calculated using a 3 × 3 and 15 × 15 square cell moving window, respectively. Additionally, a global landslide susceptibility model established using a comprehensive global landslide database and fuzzy algorithm was employed for comparative analysis, providing a holistic evaluation of the QNL model’s accuracy. The results show that while the overall distribution of the two QNL models for non-susceptible landslide areas was roughly consistent, notable discrepancies were observed in localized regions, especially in the Southwest and Qinghai-Tibet geological environment areas where landslides are prone to occur. The applicability of the QNL model is significantly limited in these areas. In addition, the predicted results of the QNL_CHN model are closer to those based on the global landslide susceptibility model of the fuzzy algorithm. This study provides valuable insights to enhance the QNL model’s applicability, thereby strengthening forest ecosystem management and mitigating ecological disaster risks.
Continuous Secretion of Human Epidermal Growth Factor Based on Escherichia coli Biofilm
Authors: Zhang Chong , Liao Jinglin , Li Yuancong , Liu Shuli , Li Mengting , Zhang Di , Wang Zhenyu , Liu Dong , Ying Hanjie
Published: April 2024

Human epidermal growth factor (hEGF) holds significant importance in the fields of medicine and cosmetics. Therefore, it becomes imperative to develop a highly efficient fermentation system for hEGF production. In this study, a stable hEGF-secreting expression strain was created by integrating the hEGF gene into the genome of Escherichia coli (E. coli) BL21, and an immobilized fermentation system was developed based on biofilm to facilitate continuous hEGF production. After optimization of fermentation conditions and gene dosage, the production of hEGF was increased from 13.9 mg/L to 52.4 mg/L in free-cell fermentation. Moreover, genetic modifications targeting dgcC, csgD, bcsA, and bcsB proved to enhance biofilm formation. When the bcsB was overexpressed in BL21-hEGF-C5, the biofilm-forming ability was enhanced by 91.1% and the production of hEGF was increased by 28% in biofilm-immobilized continuous fermentation. In conclusion, this study successfully confirms the feasibility of continuous hEGF production through the biofilm system of E. coli, providing valuable insights for the development of other proteins in the field of continuous biomanufacturing.
Front-of-Package Protein Labels on Cereal Create Health Halos
Authors: McKeon Gina Pope , Hallman William K.
Published: April 2024

Front-of-package protein labels are frequently added to breakfast cereals, aimed at increasing purchases by consumers who believe they would benefit from eating more protein. However, the overall nutritional compositions of such products are often not significantly better than similar products without protein labels, and may contain more sugar, sodium, and calories to improve taste. We conducted an online survey with 1022 US adults to examine consumer perceptions of two cereals (Special K Original and Special K Protein). Participants perceived Special K Protein as healthier and more nutritious, though less tasty, than Special K Original. Special K Protein was perceived as providing greater health benefits, such as being more likely to help them build muscle, stay healthy, and live longer. Many participants perceived no differences in the amounts of certain nutrients between the cereals, such as sugar (54.5%), sodium (59.2%), and calories (49.1%). Yet, when serving sizes are equalized to one cup, Special K Protein has more sugar, sodium, and calories than Special K Original. Though most participants reported viewing the Facts Up Front label, only 21.3% correctly chose Special K Original as having the larger serving size. This pattern of results suggests the presence of a health halo surrounding the protein-labeled product.
Importance of Certain Varieties of Cucurbits in Enhancing Health: A Review
Authors: Romo-Tovar Jaqueline , Belmares Cerda Ruth , Chávez-González Mónica L. , Rodríguez-Jasso Rosa M. , Lozano-Sepulveda Sonia A. , Govea-Salas Mayela , Loredo-Treviño Araceli
Published: April 2024

The Cucurbitaceae family is an extensive group of fruits and vegetables that exhibit common characteristics; for example, they are farmed on a global scale and exhibit a wide range of applications, including fresh consumption and use in various food and beverage products. As is frequent, many species or genera share a common name, and this can lead to some confusion when looking for information about a specific variety. In this review, we describe the findings about the biological activity, like antibacterial, antiviral, antidiabetic, and anticancer properties, of two genera of this family, Cucumis and Momordica, which have been characterized and evaluated in several research studies and regarding which information is readily accessible. Those activities rely on the various physicochemical qualities and nutritional content of each variety, including factors like β-carotene and polyphenols, among others. The goal of this review is to provide a rapid search for each activity examined in the literature, enabling future research on their potential uses in functional foods and nutraceutical supplements.
Growth Reduction of Vibrionaceae and Microflora Diversity in Ice-Stored Pacific White Shrimp (Penaeus vannamei) Treated with a Low-Frequency Electric Field
Authors: Xu Lijuan , Chen Haiqiang , Liang Zuanhao , Chen Shanshan , Xia Yu , Zhu Siming , Yu Ming
Published: April 2024

A novel storage technique that combines the low-frequency electric field (LFEF) and ice temperature was used to extend the shelf life of Pacific white shrimp (Penaeus vannamei). The study investigated the effect of LFEF treatment on the quality and microbial composition of Penaeus vannamei during storage at ice temperature. The results showed that the LFEF treatment significantly extended the shelf life of shrimp during storage at ice temperature. The total volatile base nitrogen (TVB-N) and pH of samples increased over time, while the total viable count (TVC) showed a trend of first decreasing and then increasing. Obviously, shrimp samples treated with LFEF had a lower pH, TVB-N and TVC values than the untreated samples (p < 0.05) at the middle and late stages of storage. LFEF treatment increased the diversity and altered the composition of the microbial communities in Penaeus vannamei. Additionally, the treatment led to a decrease in the relative abundance of dominant spoilage bacteria, including Aliivibrio, Photobacterium and Moritella, in Penaeus vannamei stored at ice temperature for 11 days. Furthermore, correlation analysis indicated that TVB-N and pH had a significant and positive correlation with Pseudoalteromonas, suggesting that Pseudoalteromonas had a greater impact on shrimp quality. This study supports the practical application of accelerated low-frequency electric field-assisted shrimp preservation as an effective means of maintaining shrimp meat quality.
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Authors: Makahleh Hisham Y. , Ferranti Emma Jayne Sakamoto , Dissanayake Dilum
Published: April 2024

Autonomous vehicles (AVs) aim to improve safety and comfort of road users while contributing to the reduction of traffic congestion, air pollution, fuel consumption, and enabling mobility and accessibility of disabled and older people. As AV technology is rapidly advancing, there is an urgent need to explore how those new mobility services will impact urban transport systems, including the users, the infrastructure, and the design of future urban areas. This paper applies a systematic review to assess the role of AVs in urban areas. It reviews 41 articles published between 2003 and 2023, and uses inductive and deductive coding approaches to identify seven themes and thirty sub-themes within the literature. The seven include: benefits, attitudes, and behaviours and user perception, climate adaptation, climate mitigation, legislation and regulations, sustainability, and infrastructure. Studies related to benefits accounted for 25% of the sample, followed by behaviours and user perception (24%) and sustainability (22%). The least amount of research has been undertaken on the role of AVs to support climate adaptation. Geographically, almost half (#22) of the papers originate within Europe, followed by America (#10) and Asia (#7). There is only limited research originating from the Global South. This systematic review sets the scene for considering how AVs in public transport can be implemented in urban areas by establishing the current state of knowledge on user attitudes, perceptions, and behaviour, the benefits of AVs, the infrastructure and legislation and regulations required for AVs, and the role AVs have in climate mitigation, adaptation, and sustainability.
The Impact of Artificial Intelligence on Future Aviation Safety Culture
Authors: Kirwan Barry
Published: April 2024

Artificial intelligence is developing at a rapid pace, with examples of machine learning already being used in aviation to improve efficiency. In the coming decade, it is likely that intelligent assistants (IAs) will be deployed to assist aviation personnel in the cockpit, the air traffic control center, and in airports. This will be a game-changer and may herald the way forward for single-pilot operations and AI-based air traffic management. Yet in aviation there is a core underlying tenet that ‘people create safety’ and keep the skies and passengers safe, based on a robust industry-wide safety culture. Introducing IAs into aviation might therefore undermine aviation’s hard-won track record in this area. Three experts in safety culture and human-AI teaming used a validated safety culture tool to explore the potential impacts of introducing IAs into aviation. The results suggest that there are indeed potential negative outcomes, but also possible safety affordances wherein AI could strengthen safety culture. Safeguards and mitigations are suggested for the key risk owners in aviation organizations, from CEOs to middle managers, to safety departments and frontline staff. Such safeguards will help ensure safety remains a priority across the industry.
Not Food: Time to Call Ultra-Processed Products by Their True Name
Authors: Prescott Susan L. , Naik Ashka , Logan Alan C.
Published: April 2024

Over the last decade, volumes of international studies have illuminated the potential harms associated with ultra-processed products sold as foods. These potential harms include, but are not limited to, an increased risk of non-communicable diseases, poor mental health, and early mortality. Studies examining such products and health have included top-down methods (e.g., nutritional epidemiology), bottom-up approaches (e.g., animal and pre-clinical mechanistic studies), and human intervention trials. The identification of potential harms associated with high levels of food processing has been aided by the NOVA Food Classification System, developed around 2009. Here, in this perspective essay, we argue that lexicon matters, and the continued reference to such ultra-processed products as “foods” is a barrier to policy-related discourse. Using a historical framework, we contend that the term “ultra-processed food” sits in foundational misalignment with how food has been defined, perceived, deliberated on, engaged with, and experienced by humans over millennia. Moreover, we suggest that language that positions ultra-processed products as “food” is part of a mindset that privileges technology and the continued application of isolated nutrients as a means to remedy deeply rooted socioeconomic problems. In the context of global policy, the parallels between food-like ultra-processed products and tobacco are extraordinary.
Development and Physicochemical Characterization of Edible Chitosan–Casein Hydrogel Membranes for Potential Use in Food Packaging
Authors: Karydis-Messinis Andreas , Kyriakaki Christina , Triantafyllou Eleni , Tsirka Kyriaki , Gioti Christina , Gkikas Dimitris , Nesseris Konstantinos , Exarchos Dimitrios A. , Farmaki Spyridoula , Giannakas Aris E. , Salmas Constantinos E. , Matikas Theodore E. , Moschovas Dimitrios , Avgeropoulos Apostolos
Published: April 2024

The increasing global concern over plastic waste and its environmental impact has led to a growing interest in the development of sustainable packaging alternatives. This study focuses on the innovative use of expired dairy products as a potential resource for producing edible packaging materials. Expired milk and yogurt were selected as the primary raw materials due to their protein and carbohydrate content. The extracted casein was combined with various concentrations of chitosan, glycerol, and squid ink, leading to the studied samples. Chitosan was chosen due to its appealing characteristics, including biodegradability, and film-forming properties, and casein was utilized for its superior barrier and film-forming properties, as well as its biodegradability and non-toxic nature. Glycerol was used to further improve the flexibility of the materials. The prepared hydrogels were characterized using various instrumental methods, and the findings reveal that the expired dairy-based edible packaging materials exhibited promising mechanical properties comparable to conventional plastic packaging and improved barrier properties with zero-oxygen permeability of the hydrogel membranes, indicating that these materials have the potential to effectively protect food products from external factors that could compromise quality and shelf life.
A Summary of Two Decades of QTL and Candidate Genes That Control Seed Tocopherol Contents in Maize (Zea mays L.)
Authors: Kassem My Abdelmajid , Knizia Dounya , Meksem Khalid
Published: April 2024

Tocopherols are secondary metabolites synthesized through the shikimate biosynthetic pathway in the plastids of most plants. It is well known that α–Tocopherol (vitamin E) has many health benefits for humans and animals; therefore, it is highly used in human and animal diets. Tocopherols vary considerably in most crop (and plant) species and within cultivars of the same species depending on environmental and growth conditions; tocopherol content is a polygenic, complex traits, and its inheritance is poorly understood. The objective of this review paper was to summarize all identified quantitative trait loci (QTL) that control seed tocopherols and related contents identified in maize (Zea mays) during the past two decades (2002–2022). Candidate genes identified within these QTL regions are also discussed. The QTL described here, and candidate genes identified within these genomic regions could be used in breeding programs to develop maize cultivars with high, beneficial levels of seed tocopherol contents.
Assessing Adhesiveness Levels in a Dysphagia Diet for Older Adults
Authors: Lee Tae-Heon , Park Jin-Woo
Published: April 2024

Background: Viscosity is a common focus in the diet of patients with dysphagia. However, adhesiveness is an equally significant property that can affect swallowing function, even in semi-solid foods with similar levels of viscosity. The purpose of this study was to classify the adhesiveness of food into stages and determine whether these classifications are relevant to swallowing function. Methods: This study included 30 healthy elderly adults aged 65 years. After categorizing adhesiveness into three levels based on the results of the sensory test, 30 participants were asked to swallow representative foods at each level. A videofluoroscopic swallowing study (VFSS) was performed to determine the presence or absence of pharyngeal residues based on the level of adhesiveness. The chi-square test was used to verify whether there was a difference in remnants according to the level of adhesiveness, and significance was judged with a p-value of less than 0.05. Results: Adhesiveness was categorized into three distinct levels: level 1 (0–4 mJ), level 2 (4–18 mJ), and level 3 (>18 mJ). Upon examining the subjects presenting with residual material, we observed three cases of level 1 adhesiveness, 16 cases of level 2, and 25 cases of level 3. The chi-square test was used to assess the statistical significance between the levels, revealing a significant difference with a p-value < 0.0001. Conclusions: We presented the level of adhesiveness by dividing it into three stages and proved that it is meaningful in relation to the swallowing function. Selecting and recommending foods with an appropriate level of adhesiveness will help enhance swallowing safety in older adults.
Are Italian Newly Licensed Nurses Ready? A Study on Self-Perceived Clinical Autonomy in Critical Care Scenarios
Authors: Stirparo Giuseppe , Di Fronzo Pasquale , Solla Daniele , Bottignole Dario , Gambolò Luca
Published: April 2024

The experience and self-confidence of healthcare professionals play critical roles in reducing anxiety levels during emergencies. It is important to recognize the potential impact of anxiety on performance. To enhance preparedness and confidence in managing emergencies, healthcare professionals benefit from regular training and simulations. Additionally, repeated exposure to emergency scenarios can help modulate physiological responses. Managing anxiety effectively is key, as heightened sympathetic stimulation associated with anxiety can adversely affect performance. This study aimed to investigate nurses’ self-assessed ability to manage emergency guidelines and their self-confidence in performing tasks in critical care settings. A questionnaire was provided to 1097 nurses. We compared the self-confidence of experienced nurses (ENs) and newly licensed nurses (NLNs) in managing emergency department shifts or critical patients, and found that ENs are more confident in these scenarios. This phenomenon was also observed in subjects who had taken simulation courses, although they were still a low percentage. Most NLNs feel sufficiently ready to work in medium-intensity wards. Attending advanced training courses enhances nurses’ self-confidence and may improve patient safety management., improving patient recovery, and minimizing errors. Attending courses improves the perception of autonomy of nurses in different scenarios.
Exploring Early, Middle, and Late Loss in Basic Activities of Daily Living among Nursing Home Residents: A Multicenter Observational Study
Authors: Moreno-Martin Pau , Minobes-Molina Eduard , Carbó-Cardeña Aina , Masó-Aguado Montse , Solé-Casals Montserrat , Torrents-Solé Meritxell , Bort-Roig Judit , Amblàs-Novellas Jordi , Gómez-Batiste Xavier , Jerez-Roig Javier
Published: April 2024

Nursing home (NH) residents commonly face limitations in basic activities of daily living (BADLs), following a hierarchical decline. Understanding this hierarchy is crucial for personalized care. This study explores factors associated with early, middle, and late loss in BADLs among NH residents. A multicenter cross-sectional study was conducted in 30 NHs in Catalonia, Spain. Dependent variables were related to limitations in BADLs: early loss (self-care-related BADLs: personal hygiene, dressing, or bathing), middle loss (mobility-related BADLs: walking or wheelchair handling, toileting, and transferring), and late loss (eating). Independent variables were based on a comprehensive geriatric assessment and institutional factors. Logistic regression was used for the multivariate analyses. The study included 671 older adults. Early loss in BADLs was significantly associated with urinary incontinence, cognitive impairment, and falls. Middle loss in BADLs was linked to fecal incontinence, urinary incontinence, ulcers, and cognitive impairment. Late loss in BADLs was associated with fecal incontinence, the NH not owning a kitchen, neurological disease, cognitive impairment, dysphagia, polypharmacy, and weight loss. These findings highlight the need to address geriatric syndromes, especially cognitive impairment and bladder/bowel incontinence. Monitoring these syndromes could effectively anticipate care dependency. The presence of kitchens in NHs may help to address limitations to eating, allowing for potential personalized meal adaptation.
Identification, Nutrient Composition, and Evaluation of a Wild Pleurotus citrinopileatus Strain (X21156) from Tibet for Antioxidant and Cytotoxic Activities
Authors: Xiao Xiaoshan , Li Yun , Li Xiaomin , Hu Xin , Zhang Junli , Wu Xiaoping , Fu Junsheng
Published: April 2024

A fungal strain (X21156) collected in Tibet was used as the material, identified based on its morphological characteristics and internal transcribed spacer (ITS) sequence; its optimal culture conditions were analyzed by single-factor experiments; artificial domestication and cultivation were carried out; its nutrient composition was determined; and the bioactivities of its polysaccharides were detected using chemical antioxidant assays and MTT assays. The results showed that the strain was Pleurotus citrinopileatus Sing. Its optimal culture conditions were a pH of 7, a temperature of 25 °C, glucose (20 g·L−1) as the carbon source, and yeast powder (20 g·L−1) as the nitrogen source. The fresh weight of a single domesticated fruiting body was 41.16 g. The strain had high protein (28.5%), high fiber (34%), and low fat (1.4%) contents, with high proportions of fresh and sweet amino acids. Polysaccharides had good scavenging ability on ABTS+, DPPH, and OH free radicals (EC50 0.06 mg/mL, 1.21 mg/mL, and 3.62 mg/mL, respectively), and the cytotoxicity of polysaccharides to hepatocellular carcinoma cells (HepG2) (IC50: 1.69 mg/mL) was higher than that of triple-negative breast cancer cells (MDA-MB-468) (IC50: 1.76 mg/mL). In conclusion, the study provides a reference on the optimal culture conditions, domestication and cultivation, and dietary and medicinal values of wild P. citrinopileatus Sing.
Impact of Dry Processing on Secondary Metabolites in the Petals of Marigold (Tagetes spp.) Cultivar
Authors: Kim Ji Hye , Lim You Jin , Kim Jae-Hee , Eom Seok Hyun
Published: April 2024

The edible flowers of marigold (Tagetes spp.) are cultivated for their aesthetic appeal and high utility as functional health food ingredients. Carotenoid and flavonoid contents in marigold petals highlight the importance of selecting the appropriate cultivar and its processing methods for their industrial applications. The comparative understanding of the effects of dry processing on functional components across different marigold cultivars is still lacking. Therefore, this study investigated functional compound changes in the dry processing effect on four marigold cultivars with distinct flower shapes (Durango, Inca) and colors (yellow, orange). The petals in hot air drying (HAD) with 30, 60, and 90 °C applications were analyzed for the measurement of their individual secondary metabolite contents, total phenolic and flavonoid contents, and antioxidant activities. In freeze drying (FD), the lutein content varied significantly based on flower color, exhibiting higher levels in cultivars with orange petals. Otherwise, the levels of quercetin derivatives displayed distinct differences based on varieties other than color, with Inca cultivars demonstrating higher levels of quercetin 7-O-glucoside (Q7G) than Durango cultivars. In HAD, the lutein levels show a tendency to increase above 60 °C regardless of the cultivar. The content of quercetin glycosides decreased, while the aglycone increased in HAD treatments, regardless of the temperatures. Correlation and PCA results highlighted the impact of phenol compounds on antioxidant activity. Overall, these findings underscore the significance of variety and color in determining the chemical composition and antioxidant properties of marigold flowers.
Enhancing Adversarial Learning-Based Change Detection in Imbalanced Datasets Using Artificial Image Generation and Attention Mechanism
Authors: Oubara Amel , Wu Falin , Maleki Reza , Ma Boyi , Amamra Abdenour , Yang Gongliu
Published: April 2024

Deep Learning (DL) has become a popular method for Remote Sensing (RS) Change Detection (CD) due to its superior performance compared to traditional methods. However, generating extensive labeled datasets for DL models is time-consuming and labor-intensive. Additionally, the imbalance between changed and unchanged areas in object CD datasets, such as buildings, poses a critical issue affecting DL model efficacy. To address this issue, this paper proposes a change detection enhancement method using artificial image generation and attention mechanism. Firstly, the content of the imbalanced CD dataset is enhanced using a data augmentation strategy that synthesizes effective building CD samples using artificial RS image generation and building label creation. The created building labels, which serve as new change maps, are fed into a generator model based on a conditional Generative Adversarial Network (c-GAN) to generate high-resolution RS images featuring building changes. The generated images with their corresponding change maps are then added to the CD dataset to create the balance between changed and unchanged samples. Secondly, a channel attention mechanism is added to the proposed Adversarial Change Detection Network (Adv-CDNet) to boost its performance when training on the imbalanced dataset. The study evaluates the Adv-CDNet using WHU-CD and LEVIR-CD datasets, with WHU-CD exhibiting a higher degree of sample imbalance compared to LEVIR-CD. Training the Adv-CDNet on the augmented dataset results in a significant 16.5% F1-Score improvement for the highly imbalanced WHU-CD. Moreover, comparative analysis showcases the superior performance of the Adv-CDNet when complemented with the attention module, achieving a 6.85% F1-Score enhancement.
Vitamin K Epoxide Reductase Complex–Protein Disulphide Isomerase Assemblies in the Thiol–Disulphide Exchange Reactions: Portrayal of Precursor-to-Successor Complexes
Authors: Stolyarchuk Maxim , Botnari Marina , Tchertanov Luba
Published: April 2024

The human Vitamin K Epoxide Reductase Complex (hVKORC1), a key enzyme that converts vitamin K into the form necessary for blood clotting, requires for its activation the reducing equivalents supplied by its redox partner through thiol–disulphide exchange reactions. The functionally related molecular complexes assembled during this process have never been described, except for a proposed de novo model of a ‘precursor’ complex of hVKORC1 associated with protein disulphide isomerase (PDI). Using numerical approaches (in silico modelling and molecular dynamics simulation), we generated alternative 3D models for each molecular complex bonded either covalently or non-covalently. These models differ in the orientation of the PDI relative to hVKORC1 and in the cysteine residue involved in forming protein–protein disulphide bonds. Based on a comparative analysis of these models’ shape, folding, and conformational dynamics, the most probable putative complexes, mimicking the ‘precursor’, ‘intermediate’, and ‘successor’ states, were suggested. In addition, we propose using these complexes to develop the ‘allo-network drugs’ necessary for treating blood diseases.
Integrated Untargeted Metabolome, Full-Length Sequencing and Transcriptome Analyses Reveal the Mechanism of Flavonoid Biosynthesis in Blueberry (Vaccinium spp.) Fruit
Authors: Tian Youwen , Liu Xinlei , Chen Xuyang , Wang Bowei , Dong Mei , Chen Li , Yang Zhengsong , Li Yadong , Sun Haiyue
Published: April 2024

As a highly economic berry fruit crop, blueberry is enjoyed by most people and has various potential health benefits, many of which are attributed to the relatively high concentrations of flavonoids. To obtain more accurate and comprehensive transcripts, the full-length transcriptome of half-highbush blueberry (Vaccinium corymbosum/angustifolium cultivar Northland) obtained using single molecule real-time and next-generation sequencing technologies was reported for the first time. Overall, 147,569 consensus transcripts (average length, 2738 bp; N50, 3176 bp) were obtained. After quality control steps, 63,425 high-quality isoforms were obtained and 5030 novel genes, 3002 long non-coding RNAs, 3946 transcription factor genes (TFs), 30,540 alternative splicing events, and 2285 fusion gene pairs were identified. To better explore the molecular mechanism of flavonoid biosynthesis in mature blueberry fruit, an integrative analysis of the metabolome and transcriptome was performed on the exocarp, sarcocarp, and seed. A relatively complete biosynthesis pathway map of phenylpropanoids, flavonoids, and proanthocyanins in blueberry was constructed. The results of the joint analysis showed that the 228 functional genes and 42 TFs regulated 78 differentially expressed metabolites within the biosynthesis pathway of phenylpropanoids/flavonoids. O2PLS analysis results showed that the key metabolites differentially accumulated in blueberry fruit tissues were albireodelphin, delphinidin 3,5-diglucoside, delphinidin 3-O-rutinoside, and delphinidin 3-O-sophoroside, and 10 structural genes (4 Vc4CLs, 3 VcBZ1s, 1 VcUGT75C1, 1 VcAT, and 1 VcUGAT), 4 transporter genes (1 VcGSTF and 3 VcMATEs), and 10 TFs (1 VcMYB, 2 VcbHLHs, 4 VcWD40s, and 3 VcNACs) exhibited strong correlations with 4 delphinidin glycosides. These findings provide insights into the molecular mechanisms of flavonoid biosynthesis and accumulation in blueberry fruit.
Small Molecules Promote the Rapid Generation of Dental Epithelial Cells from Human-Induced Pluripotent Stem Cells
Authors: Zhu Ximei , Li Yue , Dong Qiannan , Tian Chunli , Gong Jing , Bai Xiaofan , Ruan Jianping , Gao Jianghong
Published: April 2024

Human-induced pluripotent stem cells (hiPSCs) offer a promising source for generating dental epithelial (DE) cells. Whereas the existing differentiation protocols were time-consuming and relied heavily on growth factors, herein, we developed a three-step protocol to convert hiPSCs into DE cells in 8 days. In the first phase, hiPSCs were differentiated into non-neural ectoderm using SU5402 (an FGF signaling inhibitor). The second phase involved differentiating non-neural ectoderm into pan-placodal ectoderm and simultaneously inducing the formation of oral ectoderm (OE) using LDN193189 (a BMP signaling inhibitor) and purmorphamine (a SHH signaling activator). In the final phase, OE cells were differentiated into DE through the application of Purmorphamine, XAV939 (a WNT signaling inhibitor), and BMP4. qRT-PCR and immunostaining were performed to examine the expression of lineage-specific markers. ARS staining was performed to evaluate the formation of the mineralization nodule. The expression of PITX2, SP6, and AMBN, the emergence of mineralization nodules, and the enhanced expression of AMBN and AMELX in spheroid culture implied the generation of DE cells. This study delineates the developmental signaling pathways and uses small molecules to streamline the induction of hiPSCs into DE cells. Our findings present a simplified and quicker method for generating DE cells, contributing valuable insights for dental regeneration and dental disease research.
Advancements in Photothermal Therapy Using Near-Infrared Light for Bone Tumors
Authors: Xie Mengzhang , Gong Taojun , Wang Yitian , Li Zhuangzhuang , Lu Minxun , Luo Yi , Min Li , Tu Chongqi , Zhang Xingdong , Zeng Qin , Zhou Yong
Published: April 2024

Bone tumors, particularly osteosarcoma, are prevalent among children and adolescents. This ailment has emerged as the second most frequent cause of cancer-related mortality in adolescents. Conventional treatment methods comprise extensive surgical resection, radiotherapy, and chemotherapy. Consequently, the management of bone tumors and bone regeneration poses significant clinical challenges. Photothermal tumor therapy has attracted considerable attention owing to its minimal invasiveness and high selectivity. However, key challenges have limited its widespread clinical use. Enhancing the tumor specificity of photosensitizers through targeting or localized activation holds potential for better outcomes with fewer adverse effects. Combinations with chemotherapies or immunotherapies also present avenues for improvement. In this review, we provide an overview of the most recent strategies aimed at overcoming the limitations of photothermal therapy (PTT), along with current research directions in the context of bone tumors, including (1) target strategies, (2) photothermal therapy combined with multiple therapies (immunotherapies, chemotherapies, and chemodynamic therapies, magnetic, and photodynamic therapies), and (3) bifunctional scaffolds for photothermal therapy and bone regeneration. We delve into the pros and cons of these combination methods and explore current research focal points. Lastly, we address the challenges and prospects of photothermal combination therapy.
Correction: Dong, W.; Song, Y. The Significance of Flavonoids in the Process of Biological Nitrogen Fixation. Int. J. Mol. Sci. 2020, 21, 5926
Authors: Dong Wei , Song Yuguang
Published: April 2024

In the original publication [...]
Anti-Atherosclerotic Properties of Aronia melanocarpa Extracts Influenced by Their Chemical Composition Associated with the Ripening Stage of the Berries
Authors: Zielińska Agnieszka , Bryk Dorota , Paradowska Katarzyna , Siudem Paweł , Wawer Iwona , Wrzosek Małgorzata
Published: April 2024

The high content of bioactive compounds in Aronia melanocarpa fruit offers health benefits. In this study, the anti-atherosclerotic effect of Aronia extracts was assessed. The impact on the level of adhesion molecules and the inflammatory response of human umbilical vein endothelial cells (HUVECs) was shown in relation to the chemical composition and the stage of ripening of the fruits. Samples were collected between May (green, unripe) and October (red, overripe) on two farms in Poland, which differed in climate. The content of chlorogenic acids, anthocyanins, and carbohydrates in the extracts was determined using HPLC-DAD/RI. The surface expression of ICAM-1 and VCAM-1 in HUVECs was determined by flow cytometry. The mRNA levels of VCAM-1, ICAM-1, IL-6, and MCP-1 were assessed using the quantitative real-time PCR method. The farms’ geographical location was associated with the quantity of active compounds in berries and their anti-atherosclerotic properties. Confirmed activity for green fruits was linked to their high chlorogenic acid content.
Unveiling the Oxazolidine Character of Pseudoproline Derivatives by Automated Flow Peptide Chemistry
Authors: Szaniszló Szebasztián , Csámpai Antal , Horváth Dániel , Tomecz Richárd , Farkas Viktor , Perczel András
Published: April 2024

Pseudoproline derivatives such as Thr(ΨPro)-OH are commonly used in peptide synthesis to reduce the likelihood of peptide aggregation and to prevent aspartimide (Asi) formation during the synthesis process. In this study, we investigate notable by-products such as aspartimide formation and an imine derivative of the Thr(ΨPro) moiety observed in flow peptide chemistry synthesis. To gain insight into the formation of these unexpected by-products, we design a series of experiments. Furthermore, we demonstrate the oxazolidine character of the pseudoproline moiety and provide plausible mechanisms for the two-way ring opening of oxazolidine leading to these by-products. In addition, we present evidence that Asi formation appears to be catalyzed by the presence of the pseudoproline moiety. These observed side reactions are attributed to elevated temperature and pressure; therefore, caution is advised when using ΨPro derivatives under such harsh conditions. In addition, we propose a solution whereby thermodynamically controlled Asi formation can be kinetically prevented.
Neuroinflammation and Epilepsy: From Pathophysiology to Therapies Based on Repurposing Drugs
Authors: Sanz Pascual , Rubio Teresa , Garcia-Gimeno Maria Adelaida
Published: April 2024

Neuroinflammation and epilepsy are different pathologies, but, in some cases, they are so closely related that the activation of one of the pathologies leads to the development of the other. In this work, we discuss the three main cell types involved in neuroinflammation, namely (i) reactive astrocytes, (ii) activated microglia, and infiltration of (iii) peripheral immune cells in the central nervous system. Then, we discuss how neuroinflammation and epilepsy are interconnected and describe the use of different repurposing drugs with anti-inflammatory properties that have been shown to have a beneficial effect in different epilepsy models. This review reinforces the idea that compounds designed to alleviate seizures need to target not only the neuroinflammation caused by reactive astrocytes and microglia but also the interaction of these cells with infiltrated peripheral immune cells.
Correction: Sharma et al. Rhizophagus irregularis and Azotobacter chroococcum Uphold Eggplant Production and Quality under Low Fertilization. Int. J. Plant Biol. 2022, 13, 601–612
Authors: Sharma Meenakshi , Delta Anil Kumar , Brar Navjot Singh , Yadav Alpa , Dhanda Parmdeep Singh , Baslam Marouane , Kaushik Prashant
Published: April 2024

In the original publication [...]