bluuebunny/crossref_metadata_2025 huggingface dataset:
SpyTag/SpyCatcher display of influenza M2e peptide on norovirus-like particle provides stronger immunization than direct genetic fusion
Authors: Lampinen Vili , Gröhn Stina , Soppela Saana , Blazevic Vesna , Hytönen Vesa P. , Hankaniemi Minna M.
Published: June 2023

Introduction

Virus-like particles (VLPs) are similar in size and shape to their respective viruses, but free of viral genetic material. This makes VLP-based vaccines incapable of causing infection, but still effective in mounting immune responses. Noro-VLPs consist of 180 copies of the VP1 capsid protein. The particle tolerates C-terminal fusion partners, and VP1 fused with a C-terminal SpyTag self-assembles into a VLP with SpyTag protruding from its surface, enabling conjugation of antigens via SpyCatcher.

Methods

To compare SpyCatcher-mediated coupling and direct peptide fusion in experimental vaccination, we genetically fused the ectodomain of influenza matrix-2 protein (M2e) directly on the C-terminus of norovirus VP1 capsid protein. VLPs decorated with SpyCatcher-M2e and VLPs with direct M2 efusion were used to immunize mice.

Results and discussion

We found that direct genetic fusion of M2e on noro-VLP raised few M2e antibodies in the mouse model, presumably because the short linker positions the peptide between the protruding domains of noro-VLP, limiting its accessibility. On the other hand, adding aluminum hydroxide adjuvant to the previously described SpyCatcher-M2e-decorated noro-VLP vaccine gave a strong response against M2e. Surprisingly, simple SpyCatcher-fused M2e without VLP display also functioned as a potent immunogen, which suggests that the commonly used protein linker SpyCatcher-SpyTag may serve a second role as an activator of the immune system in vaccine preparations. Based on the measured anti-M2e antibodies and cellular responses, both SpyCatcher-M2e as well as M2e presented on the noro-VLP via SpyTag/Catcher show potential for the development of universal influenza vaccines.
A case report and literature review of immune checkpoint inhibitor-associated pneumonia caused by penpulimab
Authors: Gao Rongmao , Yang Fuxun , Yang Chen , Zhang Zhao , Liu Mingzong , Xiang Chunlin , Hu Huan , Luo Xiaoxiu , Li Jiajia , Liu Rongan
Published: June 2023

Objective

From the perspective of intensive care physicians, this paper reviews the diagnosis and treatment of CIP patients, analyzes and refines relevant literature on CIP. To summarize the characteristics of diagnosis and treatment of severe CIP provides the basis and reference for early identification, diagnosis and treatment.

Methods

A case of severe CIP caused by piamprilizumab and ICI was reviewed and the literature was reviewed.

Results

This was a patient with lung squamous cell carcinoma with lymphoma who had been treated with multiple chemoradiotherapy and immunotherapy with piamprizumab. The patient was admitted to the ICU with respiratory failure. The intensive care physician performs anti-infective, fluid management, hormonal anti-inflammatory, respiratory and nutritional support treatment, and relies on mNGS to exclude severe infection and CIP treatment, thus successfully saving the patient's life and improving discharge.

Conclusions

The incidence of CIP is very low, and its diagnosis should be combined with clinical manifestations and previous drug use. mNGS can provide certain value in the exclusion of severe infections, so as to provide basis and reference for the early identification, diagnosis and treatment of severe CIP.
Threshold effects of the relationship between physical exercise and cognitive function in the short-sleep elder population
Authors: You Yanwei , Chen Yuquan , Chen Xiangyu , Wei Mengxian , Yin Jiahui , Zhang Qi , Cao Qiang
Published: June 2023

Background

It has been demonstrated that elderly people’s cognitive capacities can be improved with exercise, and short sleep is linked to cognitive decline. However, the impact of physical exercise on cognitive performance in seniors who do not get enough sleep is largely unknown. This makes it an intriguing subject to explore further.

Methods

This study consisted of elders (over 60 years old) who participated throughout the National Health and Nutrition Examination Survey’s 2011–2014 cycle (NHANES). Weighted linear regression model and restricted cubic splines analysis were performed to evaluate the association between physical exercise and cognitive function. In the end, 1,615 samples were scrutinized and the total number of weighted respondents was 28,607,569.

Results

Results showed that in the Animal Fluency test and the Digit Symbol Substitution test, a positive association was found between physical exercise volume and scores in the fully adjusted model. A two-piecewise linear regression model was then applied to explore the threshold effect of exercise on cognitive performance. Before 960 and 800 MET-minutes/week, there were consistent positive relationship between exercise and scores of the Animal Fluency test [ß (95% CI): 0.233 (0.154, 0.312), p < 0.001] and Digit Symbol Substitution test [β (95% CI): 0.555 (0.332, 0.778), p < 0.001], respectively. However, there was a saturation effect where physical exercise volume reached the two inflection points.

Conclusion

According to our research, the benefit of exercise did not always expand with the exercise volume increment under the short-sleep condition, which challenged existing knowledge. The short-sleep elder group could maintain cognitive performance with no more than 800 MET-minutes/week of physical exercise. Verification of these findings requires further biological investigations.
New onset or relapsing neuromyelitis optica temporally associated with SARS-CoV-2 infection and COVID-19 vaccination: a systematic review
Authors: Harel Tamar , Gorman Emily F. , Wallin Mitchell T.
Published: June 2023

Background

Neuromyelitis optica spectrum disorder (NMOSD) is a rare chronic neuroinflammatory autoimmune condition. Since the onset of the COVID-19 pandemic, there have been reports of NMOSD clinical manifestations following both SARS-CoV-2 infections and COVID-19 vaccinations.

Objective

This study aims to systematically review the published literature of NMOSD clinical manifestations associated with SARS-CoV-2 infections and COVID-19 vaccinations.

Methods

A Boolean search of the medical literature was conducted between December 1, 2019 to September 1, 2022, utilizing Medline, Cochrane Library, Embase, Trip Database, Clinicaltrials.gov, Scopus, and Web of Science databases. Articles were collated and managed on Covidence® software. The authors independently appraised the articles for meeting study criteria and followed PRISMA guidelines. The literature search included all case reports and case series that met study criteria and involved NMOSD following either the SARS-CoV-2 infection or the COVID-19 vaccination.

Results

A total of 702 articles were imported for screening. After removing 352 duplicates and 313 articles based on exclusion criteria, 34 articles were analyzed. A total of 41 cases were selected, including 15 patients that developed new onset NMOSD following a SARS-CoV-2 infection, 21 patients that developed de novo NMOSD following COVID-19 vaccination, 3 patients with known NMOSD that experienced a relapse following vaccination, and 2 patients with presumed Multiple Sclerosis (MS) that was unmasked as NMOSD post-vaccination. There was a female preponderance of 76% among all NMOSD cases. The median time interval between the initial SARS-CoV-2 infection symptoms and NMOSD symptom onset was 14  days (range 3–120  days) and the median interval between COVID-19 vaccination and onset of NMO symptoms was 10  days (range 1 to 97  days). Transverse myelitis was the most common neurological manifestation in all patient groups (27/41). Management encompassed acute treatments such as high dose intravenous methylprednisolone, plasmapheresis, and intravenous immunoglobulin (IVIG) and maintenance immunotherapies. The majority of patients experienced a favorable outcome with complete or partial recovery, but 3 patients died.

Conclusion

This systematic review suggests that there is an association between NMOSD and SARS-CoV-2 infections and COVID-19 vaccinations. This association requires further study using quantitative epidemiological assessments in a large population to better quantify the risk.
Evaluation of the transmission of SARS-CoV-2 through breast milk: a case series
Authors: Murano Yayoi , Yamahira Shinya , Shoji Hiromichi , Hisata Ken , Koshizaka Takuya , Nakazawa Tomoyuki , Shimizu Toshiaki , Rahman Mahbubur
Published: June 2023

Whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is transmitted through breast milk remains controversial. This study aimed to determine the presence of SARS-CoV-2 in breast milk and assess its transmissibility to the child in infancy. Eleven samples were obtained from nine mothers with coronavirus disease 2019 (COVID-19). All but one sample had negative results on a reverse transcription-quantitative polymerase chain reaction. Among nine children, five were diagnosed with COVID-19, including one child whose mother's milk tested positive. Although SARS-CoV-2 RNA was detected in breast milk, its possible transmission via breastfeeding could not be established. Thus, we conclude that the physical attachment between mother and child is a conceivable transmission route.
Future accelerator projects: new physics at the energy frontier
Authors: Canepa Anadi , D’Onofrio Monica
Published: June 2023

High-energy colliders provide direct access to the energy frontier, allowing to search for new physics at scales as high as the machine’s center-of-mass energy, perform precision measurements of the Standard Model (SM) parameters, including those related to the flavor sector, and determine the Higgs boson properties and their connection to electroweak symmetry breaking. Each proposed future collider option has its own specific science goals and capabilities, depending on the designed running energy (energies) amongst other parameters. In this paper, an overview of the discovery potential of future circular and linear colliders is presented. Results from searches for beyond the Standard Model (BSM) phenomena at proton–proton, proton–electron, electron–positron, and muon–antimuon colliders are summarized.
Design and realization of a 3-K cryostat for a 10-cm ultrastable silicon cavity
Authors: Wang Wen-Wei , Chen Zhi-Ang , Zhang Han , Du Shize , Wu Rui , Qiao Chang , Kuang Shiyin , Zhang Xibo
Published: June 2023

Crystalline optical cavities operating at cryogenic temperatures provide a promising route for realizing the next generation of ultrastable lasers with extremely low thermal noise floor. However, it remains challenging to realize a closed-cycle cryostat for cooling a relatively long cavity to very low temperatures. Here we report on the design and experimental realization of a cryostat operating continuously at 3.1 K for an ultrastable 10-cm silicon cavity. Based on a combination of active temperature control and passive thermal damping, we realize at 3.1 K a two-second temperature instability of 6 × 10−8 K for the cavity. By implementing separate supporting structures for the cryocooler and the sample chamber, we realize vibration control on the 1 × 10−7g level at one second in each spatial direction, where g is the gravitational acceleration. With all these features, our cryostat can support an ultrastable silicon cavity with instability near its fundamental thermal noise floor at averaging time of 1–50 s. With proper upgrading, our platform holds promise for realizing ultrastable lasers with 3 × 10−17 or better frequency stability, which will in turn enable numerous studies on precision metrology and quantum many-body physics.
Knowledge and acceptance of COVID-19 vaccine among healthcare workers in Enugu metropolis, Enugu state, Nigeria
Authors: Imediegwu Kelechi U. , Abor Jude C. , Onyebuchukwu Chiamaka Q. , Ugwu Hilary I. , Ugwu Ogechi I. , Anyaehie Udo Ego , Onyia Oluchi A.
Published: June 2023

Background

COVID-19 disease spread at an alarming rate, and was declared a pandemic within 5 months from the first reported case. As vaccines have become available, there was a global effort to attain about 75% herd immunity through vaccination. There is a need to address the issue of vaccine hesitancy to COVID-19 vaccines especially in places such as Sub-Saharan African countries which have a high rate of background vaccine hesitancy.

Objective

To determine the knowledge and acceptance of COVID-19 vaccines among healthcare workers (HCWs) in Enugu metropolis.

Methods

A cross-sectional descriptive study of 103 HCWs in Enugu metropolis was done. Data was collected using structured online Google forms. Descriptive and inferential statistics was done using SPSS, and results were summarized into percentages and associations.

Results

An acceptance rate of 56.2% was obtained among HCWs in Enugu metropolis. Positive predicators of acceptance include older age (p = 0.004, X2 = 13.161), marriage (p = 0.001, X2 = 13.996), and higher average level of income (p = 0.013, X2 = 10.766) as significant correlations were found. No significant association was found between educational level, religion, denomination nor occupation, and acceptance of vaccine. The major factor responsible for refusal was fear of side-effects.

Discussion

The acceptance rate of COVID-19 vaccines among HCWs is still less than optimal. This population represents the most enlightened population on health related matters, hence if acceptance rate remains merely average that in the general population is expected to be worse. There is a need to address the fear of vaccine side-effects by inculcating more open and interactive methods of information dissemination, while also addressing the misconceptions or myths surrounding COVID-19 vaccines.
The consumption pattern and perception of using artificial sweeteners among the public in Tabuk region, Saudi Arabia
Authors: Alharthi Sawsan A. S. , Alaisayi Khulud Hassan A. , Alalawi Lina Yousef S. , Alamri Raniya Omar S. , Abu-Elfotuh Karema , Alenazi Tahani S. , Amirthalingam Palanisamy , Albariqi Hassan A. H. , Mohammed Asmaa A. , Alsubayti Norah , Hamdan Ahmed M. E. , Kozman Magy R.
Published: June 2023

Background

Obesity and weight gain have become major problems worldwide. Thus, several forms of alternative intense sweeteners are extensively used, offering a non-caloric sweet taste. To the best of our knowledge, no research has studied either the consumption pattern or the perception of using artificial sweeteners in Saudi Arabia.

Objectives

Our research aimed to study the usage pattern of such artificial sweeteners in the Tabuk region and estimate the knowledge of and attitudes toward their usage among the population.

Methods

A cross-sectional study promoted on multiple social media platforms and face-to-face interviews in different malls and hospitals in the Tabuk region. We grouped the participants into two major groups: the users and the non-users of artificial sweeteners. Each group has been subdivided into a healthy subgroup and those with a medical record subgroup. Participants’ characteristics and their choice of sweeteners were analyzed using bivariate analysis. The age, gender, and education level of the participants were adjusted using binary logistic regression in order to adjust for potential confounders.

Results

A total of 2,760 participants were included in our study. We found that more than 59% of the participants that were over 45 years old were non-hospitalized non-hospitalized diseased irrespective of their usage of artificial sweeteners. Furthermore, females, graduates, diabetics were significantly high irrespective of their subgroup. Moreover, Steviana® is the most commonly used artificial sweetener. In addition, healthy participants showed a greater perception of the usage and adverse effects of artificial sweeteners. Furthermore, bivariate analysis using logistic regression revealed significant associations (p < 0.05) with confounders such as gender, age, and education level.

Conclusion

Educational programs and nutritional advice for the safe consumption and the daily permissible doses of artificial sweeteners are essential and should be directed specifically at females.
eHealth literacy was associated with anxiety and depression during the COVID-19 pandemic in Nigeria: a cross-sectional study
Authors: Akingbade Oluwadamilare , Adeleye Khadijat , Fadodun Oluwadamilola Agnes , Fawole Israel Opeyemi , Li Jiaying , Choi Edmond Pui Hang , Ho Mandy , Lok Kris Yuet Wan , Wong Janet Yuen Ha , Fong Daniel Yee Tak , Ogungbe Oluwabunmi
Published: June 2023

Background

Electronic health (eHealth) literacy may play an important role in individuals’ engagement with online mental health-related information.

Aim

To examine associations between eHealth literacy and psychological outcomes among Nigerians during the Coronavirus disease-2019 (COVID-19) pandemic.

Methods

This was a cross-sectional study among Nigerians conducted using the ‘COVID-19’s impAct on feaR and hEalth (CARE) questionnaire. The exposure: eHealth literacy, was assessed using the eHealth literacy scale, and psychological outcomes were assessed using the PHQ-4 scale, which measured anxiety and depression; and the fear scale to measure fear of COVID-19. We fitted logistic regression models to assess the association of eHealth literacy with anxiety, depression, and fear, adjusting for covariates. We included interaction terms to assess for age, gender, and regional differences. We also assessed participants’ endorsement of strategies for future pandemic preparedness.

Results

This study involved 590 participants, of which 56% were female, and 38% were 30 years or older. About 83% reported high eHealth literacy, and 55% reported anxiety or depression. High eHealth literacy was associated with a 66% lower likelihood of anxiety (adjusted odds ratio aOR, 0·34; 95% confidence interval, 0·20–0·54) and depression (aOR: 0·34; 95% CI, 0·21–0·56). There were age, gender, and regional differences in the associations between eHealth literacy and psychological outcomes. eHealth-related strategies such as medicine delivery, receiving health information through text messaging, and online courses were highlighted as important for future pandemic preparedness.

Conclusion

Considering that mental health and psychological care services are severely lacking in Nigeria, digital health information sources present an opportunity to improve access and delivery of mental health services. The different associations of e-health literacy with psychological well-being between age, gender, and geographic region highlight the urgent need for targeted interventions for vulnerable populations. Policymakers must prioritize digitally backed interventions, such as medicine delivery and health information dissemination through text messaging, to address these disparities and promote equitable mental well-being.
A comparative study of data-driven MHD simulations of solar coronal evolution with photospheric flows derived from two different approaches
Authors: Wang Xinyi , Jiang Chaowei , Feng Xueshang , Wang Boyi , Chen Bo
Published: June 2023

Data-driven simulation proves to be a powerful tool in revealing the dynamic process of the solar corona, but it remains challenging to implement the driving boundary conditions in a self-consistent way and match the observables at the photosphere. Here, we test two different photospheric velocity-driven MHD simulations in studying the quasi-static evolution of solar active region NOAA 11158. The two simulations were identically initialized with an MHD equilibrium as relaxed from a non-linear force-free field extrapolation from a vector magnetogram. Then, we energized the MHD system by applying the time series of photospheric velocity at the bottom boundary as derived by two different codes, the DAVE4VM and PDFI, from the observed vector magnetograms. To mimic the small-scale flux cancellation on the photosphere, the magnetic diffusion at the bottom boundary was set to be inversely proportional to the local scale length of the magnetic field. The result shows the evolution curves of the total magnetic energy and unsigned magnetic flux generated by the PDFI velocity match the corresponding curves from the observations much better than those by the DAVE4VM one. The structure of the current layer and synthetic image in PDFI simulation also has a more reasonable consistency with SDO/AIA 131 Å observation. The only shortage of the PDFI velocity is its capability in reproducing the morphology of sunspots, as characterized by a slightly lower correlation coefficient for the bottom magnetic field in simulations and magnetograms. Overall, this study suggests the superiority of each method in the models driven by the bottom velocity, which represents a further step toward the goal of reproducing more realistically the evolution of coronal magnetic fields using data-driven modeling.
Optimization of Selection and Use of a Machine and Tractor Fleet in Agricultural Enterprises: A Case Study
Authors: Efremov Andrei A. , Sotskov Yuri N. , Belotzkaya Yulia S.
Published: June 2023

This article presents a realized application of a model and algorithm to optimize the formation and use of a machine and tractor fleet of an agricultural enterprise in crop farming. The concepts and indicators characterizing the processes of agricultural operations of the machine fleet in the agrarian business are considered. A classification of approaches for optimizing the implementation of a complex of mechanized agro-technical operations is given. We systemize different views on the problems under study and possible solutions. The advantages of the proposed model and algorithm, as well as the problematic aspects of their information and instrumental support are discussed. The problem of choosing the optimality criterion when setting the formal problem of optimizing agricultural operations by a fleet of machines in the agricultural field is considered. A modification of the economic and mathematical model for optimizing the structure and production schedules of the machine and tractor fleet is developed. The model is applied in a numerical experiment using real data of a specific agricultural enterprise, and the economic interpretation of the results is discussed. We apply an approach for determining the economic effect of the use of the developed model and algorithm. The possibilities for practical application of the obtained results of the study are substantiated.
Multi-UAV Cooperative Air Combat Decision-Making Based on Multi-Agent Double-Soft Actor-Critic
Authors: Li Shaowei , Wang Yongchao , Zhou Yaoming , Jia Yuhong , Shi Hanyue , Yang Fan , Zhang Chaoyue
Published: June 2023

Multiple unmanned aerial vehicle (multi-UAV) cooperative air combat, which is an important form of future air combat, has high requirements for the autonomy and cooperation of unmanned aerial vehicles. Therefore, it is of great significance to study the decision-making method of multi-UAV cooperative air combat since the conventional methods are challenging to solve the high complexity and highly dynamic cooperative air combat problems. This paper proposes a multi-agent double-soft actor-critic (MADSAC) algorithm for solving the cooperative decision-making problem of multi-UAV. The MADSAC achieves multi-UAV cooperative air combat by treating the problem as a fully cooperative game using a decentralized partially observable Markov decision process and a centrally trained distributed execution framework. The use of maximum entropy theory in the update process makes the method more exploratory. Meanwhile, MADSAC uses double-centralized critics, target networks, and delayed policy updates to solve the overestimation and error accumulation problems effectively. In addition, the double-centralized critics based on the attention mechanism improve the scalability and learning efficiency of MADSAC. Finally, multi-UAV cooperative air combat experiments validate the effectiveness of MADSAC.
Velocity Mapping of an H2 − O2 Exhaust Jet in Air by Means of Schlieren Image Velocimetry (SIV)
Authors: Prisăcariu Emilia Georgiana , Prisecaru Tudor , Nicoară Răzvan Edmond , Vilag Jeni , Vilag Valeriu Alexandru
Published: June 2023

Visualization methods have always been used to inspect flows that are invisible to the naked eye. Seedless velocimetry has been regarded as an alternative to other intrusive quantitative methods and adapted to fit many applications in the industrial or scientific field. Schlieren image velocimetry (SIV) uses the general working principle of a schlieren system to acquire flow images, while relying on a particle image velocimetry (PIV)-like algorithm to obtain quantitative data related to the studied flow. The test case of this study consists of a turbulent round exhaust jet generated by a micro-thruster that uses H2−O2 as a propellent. Mapping the local velocities of the flow is achieved by initially performing a lagrangian tracking method which makes use of a direct image correlation algorithm. These results are then compared to the velocity map obtained from a kymograph applied to a series of images. The velocity profiles obtained through SIV will be compared to the velocity profile of the jet provided by the CFD simulation. The schlieren investigation of the jet’s local velocity map is set to determine the thruster’s capabilities, and conclude if the thruster reaches the desired Mach for which it has been designed.
Improved Apple Fruit Target Recognition Method Based on YOLOv7 Model
Authors: Yang Huawei , Liu Yinzeng , Wang Shaowei , Qu Huixing , Li Ning , Wu Jie , Yan Yinfa , Zhang Hongjian , Wang Jinxing , Qiu Jianfeng
Published: June 2023

This study proposes an improved algorithm based on the You Only Look Once v7 (YOLOv7) to address the low accuracy of apple fruit target recognition caused by high fruit density, occlusion, and overlapping issues. Firstly, we proposed a preprocessing algorithm for the split image with overlapping to improve the robotic intelligent picking recognition accuracy. Then, we divided the training, validation, and test sets. Secondly, the MobileOne module was introduced into the backbone network of YOLOv7 to achieve parametric fusion and reduce network computation. Afterward, we improved the SPPCSPS module and changed the serial channel to the parallel channel to enhance the speed of image feature fusion. We added an auxiliary detection head to the head structure. Finally, we conducted fruit target recognition based on model validation and tests. The results showed that the accuracy of the improved YOLOv7 algorithm increased by 6.9%. The recall rate increased by 10%, the mAP1 algorithm increased by 5%, and the mAP2 algorithm increased by 3.8%. The accuracy of the improved YOLOv7 algorithm was 3.5%, 14%, 9.1%, and 6.5% higher than that of other control YOLO algorithms, verifying that the improved YOLOv7 algorithm could significantly improve the fruit target recognition in high-density fruits.
Antibacterial and Antibiofilm Activity of Chemically and Biologically Synthesized Silver Nanoparticles
Authors: Verduzco-Chavira Karen , Vallejo-Cardona Alba Adriana , González-Garibay Angélica Sofía , Torres-González Omar Ricardo , Sánchez-Hernández Iván Moisés , Flores-Fernández Jose Miguel , Padilla-Camberos Eduardo
Published: June 2023

Bacterial biofilms are a significant problem in the food industry, as they are difficult to eradicate and represent a threat to consumer health. Currently, nanoparticles as an alternative to traditional chemical disinfectants have garnered much attention due to their broad-spectrum antibacterial activity and low toxicity. In this study, silver nanoparticles (AgNPs) were synthesized by a biological method using a Jacaranda mimosifolia flower aqueous extract and by a chemical method, and the factors affecting both syntheses were optimized. The nanoparticles were characterized by Ultraviolet–visible (UV–Vis) spectrophotometry, Fourier-transform infrared spectroscopy (FTIR), Dynamic light scattering (DLS), X-ray diffraction (XRD), and Transmission electron microscopy (TEM) with a spherical and uniform shape. The antibacterial and antibiofilm formation activity was carried out on bacterial species of Pseudomonas aeruginosa and Staphylococcus aureus with the capacity to form biofilm. The minimum inhibitory concentration was 117.5 μg/mL for the chemical and 5.3 μg/mL for the biological nanoparticles. Both types of nanoparticles showed antibiofilm activity in the qualitative Congo red test and in the quantitative microplate test. Antibiofilm activity tests on fresh lettuce showed that biological nanoparticles decreased the population of S. aureus and P. aeruginosa by 0.63 and 2.38 logarithms, respectively, while chemical nanoparticles had little microbial reduction. In conclusion, the biologically synthesized nanoparticles showed greater antibiofilm activity. Therefore, these results suggest their potential application in the formulation of sanitizing products for the food and healthcare industries.
Biological Oxidations and Nitrations Promoted by the Hemin–Aβ16 Complex
Authors: De Caro Silvia , De Soricellis Giulia , Dell’Acqua Simone , Monzani Enrico , Nicolis Stefania
Published: June 2023

Both β-amyloid (Aβ) peptides and oxidative stress conditions play key roles in Alzheimer’s disease. Hemin contributes to the development of the disease as it possesses redox properties and its level increases in pathological conditions or traumatic brain injuries. The aim of this work was to deepen the investigation of the reactivity of the hemin–Aβ16 complex, considering its ability to catalyze oxidation and nitration reactions. We performed kinetic studies in the presence of hydrogen peroxide and nitrite with phenolic and catechol substrates, as well as mass spectrometry studies to investigate the modifications occurring on the peptide itself. The kinetic constants were similar for oxidation and nitration reactions, and their values suggest that the hemin–Aβ16 complex binds negatively charged substrates with higher affinity. Mass spectrometry studies showed that tyrosine residue is the endogenous target of nitration. Hemin degradation analysis showed that hemin bleaching is only partly prevented by the coordinated peptide. In conclusion, hemin has rich reactivity, both in oxidation and nitration reactions on aromatic substrates, that could contribute to redox equilibrium in neurons. This reactivity is modulated by the coordination of the Aβ16 peptide and is only partly quenched when oxidative and nitrative conditions lead to hemin degradation.
Antioxidant, Antibacterial, and Cosmeceutical Potential of Four Common Edible Mushrooms
Authors: Machado-Carvalho Liliana , Martins Tânia , Aires Alfredo , Saavedra Maria José , Marques Guilhermina
Published: June 2023

Waste generated in mushroom cultivation represents a valuable raw material with health benefits, the use of which contributes to a reduction in food waste and to the circular economy. Hydroethanolic extracts obtained by ultrasound-assisted extraction of four edible mushroom species (Agaricus bisporus var. Portobello, Boletus edulis, Lentinula edodes, and Pleurotus ostreatus) were characterized according to their antioxidant, antibacterial, and cosmeceutical potential. The extract with the best properties was incorporated into a cosmetic cream. Concerning the phenolic contents and antioxidant capacity, the extracts of A. bisporus and B. edulis stood out from the other two due to their higher levels. The compounds p-hydroxybenzoic and gallic acids were present in all mushrooms in the ranges of 0.010 to 2.554 µg/g DW and 0.032 to 0.112 µg/g DW, respectively. The extract of B. edulis inhibited all the bacterial isolates, with minimum inhibitory concentration values ranging from 5 to 20 mg/mL for Gram-positive and 10–20 mg/mL for Gram-negative strains. In the anti-hyaluronidase assay, A. bisporus extract (10 mg/mL) was the most effective, with 74.4 ± 7.5% enzyme inhibition, and was selected for incorporation into the cosmetic cream. The cream with A. bisporus extract showed significantly higher phenolic contents and antioxidant capacity than the cream without the extract. Overall, our results support the high value of mushroom reuse as a source of natural antioxidants in the cosmetic industry.
Clinical Comparative Study for Validation of Digital Impression Reliability with the Gypsum Check: A Simple and Fast Way to Evaluate the Trueness and Accuracy of Implant-Supported Rehabilitation
Authors: Barile Giuseppe , de Rosa Giovanni , Papadia Paride , Muci Giovannino , Capodiferro Saverio , Corsalini Massimo
Published: June 2023

Despite many advantages, digital impressions, when compared to the conventional one, produce contrasting results and their complete substitution is still under debate. This comparative study aims to test a way to perform a clinical evaluation of digital impression Accuracy and Trueness with a gypsum check. After calculating the Trueness, Precision, and Accuracy of the digital impressions, a gypsum check was fabricated and screwed on implant abutments. The impression was not considered reliable if the gypsum check fractured during the insertion. The gypsum check test was correlated to a cut-off of 100 µm Trueness. Mean Trueness was 151.19 ± 37.23 µm of the first optical impression and 125.47 ± 41.90 µm of the second optical impression. The Precision mean was 39.76 ± 10.89 µm. The mean Accuracy percentage was 98.69 ± 0.29%. The gypsum checks fractured 10 times on 42 tests, and in any case, the Trueness value was above the 100 µm cut off, with a p = 0.001. A gypsum check screwed onto an implant abutment could be considered a way to perform clinical measurement of Trueness, allowing the clinician to understand if the Trueness value is higher or lower than 100 µm and reflecting the reliability of digital impressions.
Non-Face-to-Face P2P (Peer-to-Peer) Real-Time Token Payment Blockchain System
Authors: Ko Hyug-Jun , Han Seong-Soo , Jeong Chang-Sung
Published: June 2023

With the increase in intelligent voice phishing and the increasing reliance on open banking systems, there has been a rise in cases where individuals’ personal information has been exposed, resulting in significant financial losses for the victims. Non-face-to-face transactions in the financial sector face challenges such as customer identification, ensuring transaction integrity and preventing transaction rejection. Blockchain-based distributed ledgers have been proposed as a solution but their adoption is limited due to the difficulty of managing private keys and the burden of gas fees management. This paper proposes a non-face-to-face P2P real-time token payment system that minimizes the risk of key loss by storing private keys in a keystore file and database through a server-based key management module. The proposed system simplifies token creation and management through a server-based token management module and implements an automatic gas-charging function for smooth token transactions. Transaction integrity and non-repudiation are ensured through a transaction confirmation module that uses transaction IDs without exposing personal information. Furthermore, advanced security measures such as blocking foreign IP access and DDoS defense are implemented to securely protect user data. The proposed system aims to provide a convenient, secure and accessible online payment solution to the public by implementing a self-authentication function using a web application that is not limited to smartphones or application platforms.
Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society
Authors: Rodríguez-Ibáñez Margarita , Soguero-Ruiz Cristina , Gimeno-Blanes Francisco-Javier , Rojo-Álvarez José-Luis
Published: June 2023

Machine learning techniques, more commonly known today as artificial intelligence, are playing an increasingly important role in all aspects of our lives [...]
The Influence of the Ultrasound Disintegration of Microalgal–Bacterial Granular Sludge on Anaerobic Digestion Efficiency
Authors: Dębowski Marcin , Kisielewska Marta , Zieliński Marcin , Kazimierowicz Joanna
Published: June 2023

It has been proven that the biocenosis of microalgae and bacteria improves the chemical properties of biomass for its use in anaerobic digestion. However, this anaerobic digestion can be limited by the strong, compact, and complex structure of granulated biomass. Therefore, there is a need to search for an effective method for microalgal–bacterial granular sludge pretreatment, which has not been undertaken in previous scientific works. In this study, ultrasonic pretreatment was used to determine the effects of sonication on anaerobic digestion efficiency. Anaerobic digestion was performed in batch respirometric reactors. It was found that the ultrasonic pretreatment enhanced the biomass solubility; thus, the organic matter concentration increased more than six times compared to the variant without pretreatment. The study showed a positive effect of sonication on the kinetics of the anaerobic process and methane production. The highest methane yield was found in the variants in which the ultrasonication lasted from 150 s to 200 s, and this yield was from 534 ± 16 mL CH4/g VS to 561 ± 17 mL CH4/g VS. The data analysis confirmed strong correlations between the pretreatment time, the amount of biogas and methane production, and the gross energy gain. The highest net energy output and net energy gain were obtained for 150 s of sonication, and, respectively, were 4.21 ± 0.17 Wh/g VS and 1.19 ± 0.18 Wh/g VS.
A Robust Control Strategy for the Automatic Load Commutation Device Considering Uncertainties of Source and Load
Authors: Wang Yicheng , Chu Zhenyue , Chen Guang , Zhang Tianhan , Ma Yuanqian , Chen Changming , Lin Zhenzhi
Published: June 2023

The long-term three-phase imbalance in distribution systems can lead to increased energy losses during transmission, reduced efficiency in energy utilization, and have serious implications for power supply security, power quality, and economic operations of the power system. The automatic load commutation device is an automatic device designed to address the issue of three-phase load imbalances in low-voltage distribution networks. By adjusting the phase of users without interrupting the power supply, this automatic device evenly distributes the load across all phases and effectively resolves the three-phase imbalance problem. Therefore, aiming at the above issue, a robust optimization method is adopted to address the control problem of automatic load commutation devices for a low-voltage distribution network. First, using historical data from photovoltaic and wind power generation systems as well as user load, a forecast analysis is conducted and uncertainty models for renewable energy and load demand are established. Then, a robust control strategy for the automatic load commutation device is proposed, which considers uncertainties of both source and load using the robust optimization method. The proposed model is then linearized using second-order cone technology and strong dual theory, and the column-and-constrained generation (C&CG) algorithm is employed to solve the problem iteratively. Finally, a modified IEEE 33-bus system is taken to verify the effectiveness of the proposed strategy. The simulation results show that the proposed load commutation device robust control model can enhance the ability of the distribution network to respond to load demand and renewable energy fluctuations while ensuring the economic operation of the distribution network. In addition, by adjusting the deviation amount and uncertainty parameters of load demand and renewable energy, a good balance between the robustness and economy of the proposed model can be achieved.
Ameliorative Effect of Omega-3-Rich Fish Diet on the Neurotoxic Effects of Propionic Acid in a Rodent Model of Autism
Authors: Alsaqer Nouf Saad , Al-Nouri Doha M. , Bhat Ramesa Shafi , Arzoo Shaista , Al-Harbi Laila Naif , Bin Obead Manal Abdulaziz , Almubarak Abdullah Yaseen , Alkhalidi Hisham , Almotairi Ahmad , El-Ansary Afaf Kamal El-Din
Published: June 2023

Despite the increased social and financial burden associated with autism spectrum disorder (ASD), no particular treatment for this illness has been identified. A detailed examination of prior trials conducted to treat autism revealed that nutrition intervention was commonly utilised as an additional method of therapy. Indeed, the early detection of nutritional deficiencies and metabolic problems, together with appropriate therapeutic measures, can be a cornerstone for enhancing the metabolic and behavioural abilities of individuals with autism. In this work, a propionic acid (PPA)-induced rodent model of ASD was fed Spangled emperor (Lethrinus nebuloses), Dusky grouper (Epinephelus marginatus), and Parrot Fish (Scaridae), which are locally named Hammour, Shour, and Hareed, respectively, in Saudi Arabia. The aim of this study was to investigate the effect of dietary intervention with three kinds of whole fish (Lethrinus nebuloses, Epinephelus marginatus, and Scaridae), as a rich source of ω-3 fatty acids, on selected biochemical markers (reduced glutathione (GSH), thiobarbituric acid reactive substances (TBARS), creatine kinase (CK), lactate dehydrogenase (LDH), dopamine) together with a histopathological examination of the cerebellum and hippocampus as neurotoxic features of propionic acid in a rodent model of autism. Briefly, our findings give preliminary evidence in favour of employing fish as a rich supply of omega-3 fatty acids to reduce the neurotoxic effect of a PPA-induced ASD in a rat model. It may be beneficial to provide an extra marine omega-3-rich diet for improving certain metabolic autistic features related to oxidative stress, energy metabolism, and brain neurotransmitters.
Establishment and Numerical Analysis of Rolling Force Model Based on Dynamic Roll Gap
Authors: Tao Laihua , Wang Qiaoyi , Wu Huajie
Published: June 2023

Applying mathematical models and numerical methods is crucial for describing and simulating the metal cold-rolling process, wherein the accurate prediction of rolling force is an effective way to improve the quality of rolled sheets. This paper considers key influencing parameters such as friction lubrication, stress, tension, and roll-flattening radius during the rolling process and establishes a calculation model for the friction coefficient and roll-flattening radius. By considering the coupling effect of the dynamic roll gap on rolling force, a rolling force model for non-steady-state friction lubrication during the rolling process is obtained. The correctness of the proposed model is verified by comparing it with industrial measurement results. The influences of the friction coefficient, stress, tension before and after rolling, and roll-flattening radius on rolling force are quantitatively studied. The results show that the rolling force increases with an increase in the friction coefficient. When the friction coefficient exceeds 0.2, the rate of increase slows down, approaching dry friction conditions. The rolling force increases linearly with stress but decreases with increasing tension before and after rolling. The rolling force model, considering the roll-flattening radius, provides numerical calculation results that are closer to an industrial measured rolling force. This work contributes to a better understanding of the mechanism behind the improvement of the cold rolling process.
Optimal Congestion Management with FACTS Devices for Optimal Power Dispatch in the Deregulated Electricity Market
Authors: Sahoo Abhilipsa , Hota Prakash Kumar , Sahu Preeti Ranjan , Alsaif Faisal , Alsulamy Sager , Ustun Taha Selim
Published: June 2023

A deregulated electricity market provides open access to all market players. In an open-access power market, the system operator is responsible for ensuring that all contracted power is dispatched. However, if this results in line flows that exceed their acceptable range, then it could threaten the system’s security. Therefore, the system operator checks for congestion as the line flow exceeds its limit. For congestion management, the system operator applies different curtailment strategies to limit the requested transaction. Therefore, in this work, an optimal power dispatch model has been presented in order to reduce the curtailment of requested power. A modified moth flame optimization technique has been implemented to frame this OPD model. The impact of congestion management on power dispatch has been analyzed, considering bilateral and multilateral dispatch in an electricity market. In addition, the effect of FACTS devices on reducing congestion and curtailing power is studied. Verification studies showed that the proposed solution reduces congestion costs by 27.14% and 29.4% in 14- and 30-bus systems, respectively. It has been verified that the MMFO approach with the FACTS device improves transaction deviations and ensures that the deregulated system provides secure energy with less cost reflected on the customers.
New Wave Solutions for the Two-Mode Caudrey–Dodd–Gibbon Equation
Authors: Cimpoiasu Rodica , Constantinescu Radu
Published: June 2023

In this paper, we present new dynamical properties of the two-mode Caudrey–Dodd–Gibbon (TMCDG) equation. This equation describes the propagation of dual waves in the same direction with different phase velocities, dispersion parameters, and nonlinearity. This study takes a full advantage of the Kudryashov method and of the exponential expansion method. For the first time, dual-wave solutions are obtained for arbitrary values of the nonlinearity and dispersive factors. Graphs of the novel solutions are included in order to show the waves’ propagation, as well as the influence of the involved parameters.
Involvement of a MYB Transcription Factor in Anthocyanin Biosynthesis during Chinese Bayberry (Morella rubra) Fruit Ripening
Authors: Li Saisai , Zhang Yijuan , Shi Liyu , Cao Shifeng , Chen Wei , Yang Zhenfeng
Published: June 2023

Anthocyanin is a class of water-soluble flavonoids found in Chinese bayberry (Morella rubra) that is not only responsible for the variety of colors visible in nature but also has numerous health-promoting benefits in humans. Through comparative transcriptomics, we isolated and identified a transcription factor (TF) of the R2R3-MYB type, MrMYB9, in order to explore the anthocyanin biosynthesis pathway in red and white Chinese bayberries. MrMYB9 transcript was positively correlated with anthocyanin level and anthocyanin biosynthetic gene expression during Chinese bayberry fruit maturation (R-values in the range 0.54–0.84, p < 0.05). Sequence analysis revealed that MrMYB9 shared a similar R2R3 domain with MYB activators of anthocyanin biosynthesis in other plants. MrMYB9 substantially transactivated promoters of anthocyanin biosynthesis-related EBGs (MrCHI, MrF3’H, and MrANS) and LBGs (MrUFGT) upon co-expression of the AtEGL3 gene. Our findings indicated that MrMYB9 may positively modulate anthocyanin accumulation in Chinese bayberry.