bluuebunny/crossref_metadata_2025_split huggingface dataset:
Squalene encapsulation by emulsification and freeze-drying process. Effects on bread fortification
Authors: Sponton Osvaldo E. , Perez Adrián A. , Osella Carlos , Cuffia Facundo , Fenoglio Cecilia , Piagentini Andrea , Santiago Liliana G. 
Published: July 2022

Abstract
In the present work, squalene (SQ) was encapsulated by a conventional emulsion method using egg white protein nanoparticles (EWPn), as a high molecular weight surfactant, followed by a freeze-drying process to obtain an SQ powder ingredient. EWPn was produced by heat treatment at 85 °C, 10 min, and pH 10.5. EWPn showed higher emulsifying activity compared to native EWP highlighting their potential to be used for the SQ encapsulation by an emulsification process. Firstly, the encapsulation conditions were studied by using pure corn oil as an SQ carrier. The explored conditions were oil fraction (0.1-0.2), protein amount (2-5% wt.), homogenization pressure (100 and 200 bar), and maltodextrin amount (10-20% wt.). The highest encapsulation efficiency was reached for 0.15 oil fraction, 5% wt. protein concentration, 200 bar homogenization pressure, and 20% maltodextrin. Then, SQ was encapsulated using these conditions to obtain a freeze-dried powder ingredient, which was added to a bread formulation. The total and free oil of SQ freeze-dried powder was 24.4 ± 0.6% and 2.6 ± 0.1%, respectively, resulting in an EE value of 89.5 ± 0.5%. The physical, textural, and sensory properties of functional bread were not affected by the addition of 5.0% SQ freeze-dried powder. Finally, the bread loaves showed higher SQ stability compared with the one formulated with unencapsulated SQ. Hence, the encapsulation system developed was suitable for the obtention of functional bread based on SQ fortification.
Collapse of superradiant phase and unstable macroscopic vacuum state in an-optomechanical-dual-cavity with a Bose-Einstein Condensate
Authors: Liu Ni , Hu Kaixuan , Liang J.-Q. 
Published: July 2022

Abstract
Based on spin-coherent-state variational method, we mainly study the multiple stable macroscopic quantum states and quantum phase transitions of a Bose-Einstein Condensate in an optomechanical dual-cavity by modulating the dual-cavity interaction and the nonlinear phonon-photon interaction. Especially, the collapse of superradiant phase can be tuned in the existing nonlinear photon-phonon interaction, but the critical quantum phase transition point or boundary hasn’t been inflfluenced. As a result, the system occurs an additional phase transition from the superradiant phase to the inversely atomic populated state. Moreover, when dual-cavity coupling interaction increases to a certain value, a new quantum phase transition from the normal phase to the inversely atomic populated state will appear. Finally, the superradiant phase completely collapses and the normal phase also collapses into an unstable macroscopic vacuum state for a strong dual-cavity coupling interaction.
Sleeping Beauties in Autism Literature: A review of the research literature in the twentieth century
Authors: Fazeli-Varzaneh Mohsen , Shekarro Masoud , Ruble Lisa A. 
Published: July 2022

Abstract
Increasing scientific productivity in the field of autism research requires citation evaluations that may produce multiple benefits. One of the most recent citation evaluations is the delayed recognition of scientific productions, known as "Sleeping Beauties", which in this study referred to research articles that were neglected (rarely cited) in the first ten years of publication (ten-year sleep/sleep depth) but suddenly cited in later years (at least ten years later/ten years opportunity to wake up). Based on the standard and comprehensive selection criteria, out of a total of 8,865 papers found in WoS and Medline databases between 1946 and 2000, a total of 197 SB papers were identified, and in the Scopus out of 8,550 papers, which published between 1946 and 2000, 232 papers were identified as SB. Gillberg (1983) received the highest SB score in all citation databases, and Vilensky et al. (1981) received the highest SB score among the most cited papers. The innovative nature of the SB papers and the special attention paid to autism in recent years were discussed and concluded as possible reasons for the findings.
Effect of Dl-3-n-Butylphthalide on Mitochondrial Cox7c in Models of Cerebral Ischemia/Reperfusion Injury
Authors: Jia Jingjing , Deng Jianwen , Jin Haiqiang , Yang Jie , Nan Ding , Yu Zemou , Yu Weiwei , Shen Zhiyuan , Lu Yuxuan , Liu Ran , Wang Zhaoxia , Qu Xiaozhong , Qiu Dong , Yang Zhenzhong , Huang Yining 
Published: July 2022

Abstract
Several studies have demonstrated the protective effect of dl-3-n-Butylphthalide (NBP) against cerebral ischemia, which may be related to the attenuation of mitochondrial dysfunction. However, the specific mechanism and targets of NBP in cerebral ischemia/reperfusion remains unclear. In this study, we used a chemical proteomics approach to search for targets of NBP and identified cytochrome C oxidase 7c (Cox7c) as a key interacting target of NBP. Our findings indicated that NBP upregulated Cox7c, subsequently, inhibited mitochondrial apoptosis, and the release of reactive oxygen species (ROS), increased the production of ATP, improved mitochondrial respiratory capacity, and upregulated the HIF-1α/VEGF pathway, helped to maintain the mitochondrial membrane potential and the integrity of the blood-brain barrier and to promote angiogenesis. Therefore, our findings provided a novel insight into the mechanisms underlying the neuroprotective effects of NBP, and also proposed for the first time that Cox7c exerts a critical role by protecting mitochondrial function.
Exercise serum regulate uric acid transporters in normal rat kidney cells
Authors: Jiang Zhong-Ye , Cao Jian-Min , Su Hao , Cao Hui , Sun Ze-Yuan , Jiang Hao-Ze , Fan Yan-Jun 
Published: July 2022

Abstract
Objective: In this study, we tested the hypothesis that circulating factors produced during exercise regulate the expression of ABCC4, ABCG2, URAT1, and GLUT9 in normal rat kidney and NRK-52E cells and their relationship with NF-κB and NRF-2. Method: NRK-52E cells were separately cultured by serum from 10 healthy SD rats who did not exercise (CON) and 10 healthy SD rats who did aerobic treadmill exercise for 6 weeks, and cells cultured by serum from rats who did aerobic treadmill exercise for 6 weeks were separated by without NRF-2 inhibitor (EXE) and with NRF-2 inhibitor (EXE+ML). results: Aerobic exercise reduced serum uric acid level in rats, but had no significant effect on liver xanthine oxidase. It also increased the expression of some uric acid transporters in kidney and NRK-52E cells and increased the ability of cells in uric acid excretion. When the NRF-2 were inhibited, the expression of NF-κB and ABCG2 increased, and the expression of ABCC4, URAT1 and GLUT9 decreased. Conclusion: this study suggested that 6 weeks of aerobic treadmill exercise intervention may help to improve the excretion of uric acid in renal cells, suggesting that long-term aerobic exercise may be a means to prevent or treat hyperuricemia.
DVSP: An integrated database of virus spike proteins
Authors: Ye Yuan-Nong , Zheng Liu-Feng , Zhang Xiao-Ya , Liang Ding-Fa , Zeng Zhu 
Published: July 2022

Abstract
Spike protein is a class I virus fusion glycoprotein that plays an important role in cell infection by mediating receptor binding and membrane fusion during virus invasion. The fusion mechanism between virus and host cell mediated by spike protein is complex, and alterations via mutation can affect viral pathogenicity and have been linked with virus pandemics. In-depth studies of the biology and toxicology of viruses that pose a potential public health threat have promoted the use of bioinformatic approaches to explore the structure, function, and evolution of spike proteins. Therefore, data related to spike proteins have increased exponentially. To facilitate further biomedical research, these data require integration. Here, we developed a database of virus spike proteins (DVSP), which provides a free data and bioinformatics service for the scientific community. The DVSP contains 35,579 spike protein and 35,175 nucleotide sequences collected from viruses. Among these, 16,027 spike proteins and 15,623 pre-translational nucleotide sequences are derived from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the ongoing corona virus disease 2019 (COVID-19) pandemic. Overall, the DVSP provides 19,552 virus classifications based on integration and virus taxonomy, annotation information from the GenBank database, and sequence information. The sequences, virus taxonomy, and host information contained in the DVSP provide an important resource for future pathogenicity, evolutionary, and drug development studies. It serves as a valuable and comprehensive knowledge source for exploring the distribution, structure, and phylogeny of spike proteins in viruses, thereby promoting the formulation of new hypotheses and experimental designs for spike protein studies. The DVSP is a centralized reference and resource for biological information about the spike proteins of viruses (including coronavirus), which is available at http://yeyn.group:90/.
Household Wealth Differential and Under-five Child Deaths in Ghana: Implications for Child Health Policy
Authors: Osei Christian Kwaku , Nketiah-Amponsah Edward 
Published: July 2022

Abstract
Background
At the end of the MDG era, although Ghana was one of the few countries commended to have halved extreme poverty, the under-five mortality rate (U5MR) was dire. Currently, U5MR is still below the national and global SDG target. Government has over the years introduced various social and policy interventions to improve on the socioeconomic status of households to aid in better health outcomes. In this regard, we hypothesize that household wealth should therefore not influence under-five child deaths significantly.
Methods
The paper first reports under-five mortality trend over the past 30 years in Ghana. It uniquely analyses the levels and trends in wealth as measured by the Gross National Income per capita at purchasing power parity (ln GNI/p, ppp) as a proxy of the mean Comparative Wealth Index (CWI) against under-five child deaths in Ghana. Using data from the 2014 Ghana Demographic and Health Survey and employing the logistic regression estimation technique, the paper further estimates the effect of household wealth and other control variables on under-five child deaths.
Results
The trend analysis reveal that if the current rate of reduction of U5MR persists, Ghana may not achieve the SDG target. Our empirical estimations also show that household wealth still has a negative and significant relationship with under-five child deaths despite existing poverty alleviating policies. In addition, the results show that regional differences, maternal age, the number of children alive and maternal attendance to postnatal healthcare services are crucial for child survival.
Conclusion
The results imply that targeted government interventions towards improving household wealth should be intensified especially at the Northern Savannah regions. A new child health policy is imminent to reflect strategies towards achieving the SDG target on U5MR. Additionally, intensive education on active maternal participation in postnatal care should be given critical consideration to improve child survival.
Coding-Elite Particle Swarm Optimization Searching of Moving Targets by UAVs
Authors: Xie Zixuan , Huang Xueyu , Liu Wenwen , Zhu Donglin 
Published: July 2022

Abstract

This paper proposes an elite coded particle swarm optimization (CEPSO) unmanned aerial vehicles (UAVs) search target motion for target detection in the shortest time. According to Bayesian theory, the problem of moving object searched is transformed into the optimization of cost function, which is used to describe the probability of moving objects being found. In order to better fit the problem, a coded elite particle swarm optimization algorithm is used to encode the search trajectory of the UAV as the movement path of the particle in the process of generation and evolution. This coding method uses the cognitive properties and social learning properties of particle swarms to generate better solutions. At the same time, in order to increase the diversity of particle swarms, a method of elite particle perturbation is used, which greatly improves the detection probability. In order to verify the superiority of the algorithm in this paper, a large number of simulation experiments are carried out on the existing methods. The experimental results show that compared with PSO, the detection probability of the proposed CEPSO is improved by 6.9%, and the time performance is improved by 8.5%. It also compares with other meta-heuristic algorithms, including differential evolution (DE), artificial bee colony (ABC), harmony search (HS), biogeographic-based optimization (BBO), invasive weed optimization (IWO), teaching-learning-based Optimization (TLBO). The experimental results show that the algorithm proposed in this paper has better detection accuracy and less detection time.
Risk factors of primary postpartum hemorrhage among postnatal mothers in the public hospital of southern Tigray, Ethiopia, 2019: a case-control study
Authors: Muluye Getachew , Woretaw Lebasie , Girma Biniam , Tumebo Tarekegn 
Published: July 2022

Abstract
Background: Postpartum hemorrhage is the most common direct cause of maternal mortality and morbidity among them, primary postpartum hemorrhages are an enormous element. Although it has an incredible impact on maternal lifestyle, this is the most neglected area in Ethiopia and there aren’t studies achieved within the study area. The purpose of this study is to identify the risk factors of primary postpartum hemorrhage among postnatal mothers in public hospitals in southern Tigray, Ethiopia, 2019 Methods: Hospital-based unmatched case-control study design was conducted on 318 (106 case & 212 controls) postnatal mothers in public hospitals of Southern Tigray from January to October 2019. The data had been collected by using an interviewer-administered structured questionnaire and chart review. Bivariate and multivariable logistic regression models were used to identify the risk factors. P-value < 0.05 was considered for statically significance for both steps and an odds ratio with a 95% confidence level was used to see the strength of association. Results: Abnormal third stage of labor [AOR = 5.86, 95%; CI:(2.55-13.43); P-value=000], Cesarean section [AOR= 5.61, 95%; CI: (2.79-11.30); p-value=0.000], lack of AMTOL [AOR=3.88; 95%; CI: (1.29 - 11.60); P= 0.015], absence of labor monitoring [AOR=3.82; 95%; CI: (1.31-11.09); P=0.014], Lack of antenatal care [AOR=2.76, 95%, CI: (1.13–6.75); P-value=0.026] and complications during pregnancy [AOR=2.79, 95%, CI; (1.34-5.83), P-value=0.006] were found to be risk factors of primary postpartum hemorrhage. Conclusions: in this study complications and lack of maternal health interventions in the course of the antepartum and in the intrapartum period were found to be risk factors for primary postpartum hemorrhage. A strategy toward improving essential maternal health services and detecting and handling complications in a timely and proper manner will help to prevent primary postpartum hemorrhage.
Molecular hydrogen promotes wound healing by inducing early extracellular matrix deposition and epidermal stem cell proliferation
Authors: Zhao Pengxiang , Dang Zheng , Liu Mengyu , Guo Dazhi , Luo Ruiliu , Adzavon Yao Mawulikplimi , Zhang Mingzi , Xie Fei , Zhang Xujuan , Wang Youbin , Pan Shuyi , Ma Xuemei 
Published: July 2022

Abstract
Background
Despite progress in developing wound care strategies, there is currently no treatment that promotes the self-tissue repair capabilities. H2 has been shown to effectively protect cells and tissues from oxidative and inflammatory damage. While comprehensive effects and how H2 functions in wound healing are still obscure.
Methods
Here, we established a cutaneous aseptic wound model and applied a high concentration of H2 (66% H2) in a treatment chamber. Molecular mechanisms and the effects of healing were evaluated by gene functional enrichment analysis, blood perfusion/oxygen detection assay, in vitro tube formation assay, enzyme-linked immunosorbent assay, immunofluorescent staining, non-targeted metabonomic analysis, flow cytometry, transmission electron microscope, and live-cell imaging.
Results
We revealed that a high concentration of H2 (66% H2) greatly increased the healing rate (3 times higher than the control group) on day 11 post wounding. The effect was not dependent on O2 or anti-reactive oxygen species functions. Histological and cellular experiments proved the fast re-epithelialization in the H2 group. Extracellular matrix components early (3 days post wounding) deposition were found in the H2 group of the proximal wound, especially for the dermal col-I, epidermal col-III, and dermis-epidermis-junction col-XVII. H2 accelerated early autologous epidermal stem cell proliferation (1–2 days in advance) and then differentiation into myoepithelial cells. Other beneficial outcomes include sustained moist healing, greater vascularization, less T-helper-1 and T-helper-17 cell-related systemic inflammation, and better tissue remodelling.
Conclusion
We have discovered a novel pattern of wound healing induced by molecular hydrogen treatment. These H2-induced multiple advantages in healing may be related to the enhancement of cell viability in various cells and the maintenance of mitochondrial functions at a basic level in the biological processes of life.
How does the quantum structure of electromagnetic waves describe quantum redshift?
Authors: Kalhor Bahram 
Published: July 2022

Abstract
The redshift of the electromagnetic waves is a powerful tool for calculating the distance of the objects in space and studying their behavior. However, physicists' misinterpretation of why Redshift occurs has led us to a misunderstanding of the most cosmological phenomena. The paper introduces Quantum Redshift (QR) by using the quantum structure of the electromagnetic waves (QSEW) In the Quantum Redshift, although the Planck constant is the smallest unit of three-dimensional energy, it is consisting of smaller units of one-dimensional energy. The maximum energy of each period of the electromagnetic waves is equal to the Planck constant hence, the capacity of each period is carrying one-dimensional quanta energy. However, in the QR, at the emitting time of the electromagnetic waves, their periods are not fully filled. On the other hand, they are interested in sharing quanta energies with each other to have full filled periods. Sharing the quanta energies ofا some periods between other periods is the reason for destroying some periods and decreasing the frequency of the electromagnetic waves. Our other studies show Quantum Redshift can well explain the whole phenomenon of the universe, and real data support our theory. The quantum redshift rejects the big bang theory, expansion of space and dark energy. It predicts dark matters and describes CMB. The paper obtains the basic equation of the QR for use in future papers.
Additional eﬀects of diosmin in the treatment of arterial hypertension in patients with impaired renal venous blood ﬂow
Authors: Zhdamarova O. I. , Eliseeva L. N. , Urban P. I. 
Published: July 2022

Objective: to estimate of the eﬀect of diosmin in complex antihypertensive therapy on renal function in patients with hypertension and impaired renal venous blood ﬂow.Materials and methods: we observed 147 patients with hypertension aged 40.86±8.27 with signs of bilateral impairment of venous blood ﬂow in the kidneys, which, depending on the amount of therapy, were divided into 2 groups and 2 subgroups. The comparison group consisted of 57 AH patients with unchanged venous blood ﬂow in both kidneys.Results: in the presence of impaired venous blood ﬂow in the renal veins, the use of additional administration of diosmin allows maintaining or improving the ﬁltration capacity of the kidneys. Additional monitoring of patients with impaired venous blood ﬂow in the kidneys is required to assess the eﬀectiveness of antihypertensive therapy with individual drugs with and without venoactive agents.Conclusion: the additional inclusion of diosmin in the complex antihypertensive therapy of patients with arterial hypertension and impaired venous blood ﬂow to the kidneys can preserve and improve kidney function with normalization of GFR.
Using Social Media to Predict Food Deserts in the United States: Infodemiology Study of Tweets
Authors: Sigalo Nekabari , St Jean Beth , Frias-Martinez Vanessa 
Published: July 2022

BackgroundThe issue of food insecurity is becoming increasingly important to public health practitioners because of the adverse health outcomes and underlying racial disparities associated with insufficient access to healthy foods. Prior research has used data sources such as surveys, geographic information systems, and food store assessments to identify regions classified as food deserts but perhaps the individuals in these regions unknowingly provide their own accounts of food consumption and food insecurity through social media. Social media data have proved useful in answering questions related to public health; therefore, these data are a rich source for identifying food deserts in the United States.ObjectiveThe aim of this study was to develop, from geotagged Twitter data, a predictive model for the identification of food deserts in the United States using the linguistic constructs found in food-related tweets.MethodsTwitter’s streaming application programming interface was used to collect a random 1% sample of public geolocated tweets across 25 major cities from March 2020 to December 2020. A total of 60,174 geolocated food-related tweets were collected across the 25 cities. Each geolocated tweet was mapped to its respective census tract using point-to-polygon mapping, which allowed us to develop census tract–level features derived from the linguistic constructs found in food-related tweets, such as tweet sentiment and average nutritional value of foods mentioned in the tweets. These features were then used to examine the associations between food desert status and the food ingestion language and sentiment of tweets in a census tract and to determine whether food-related tweets can be used to infer census tract–level food desert status.ResultsWe found associations between a census tract being classified as a food desert and an increase in the number of tweets in a census tract that mentioned unhealthy foods (P=.03), including foods high in cholesterol (P=.02) or low in key nutrients such as potassium (P=.01). We also found an association between a census tract being classified as a food desert and an increase in the proportion of tweets that mentioned healthy foods (P=.03) and fast-food restaurants (P=.01) with positive sentiment. In addition, we found that including food ingestion language derived from tweets in classification models that predict food desert status improves model performance compared with baseline models that only include socioeconomic characteristics.ConclusionsSocial media data have been increasingly used to answer questions related to health and well-being. Using Twitter data, we found that food-related tweets can be used to develop models for predicting census tract food desert status with high accuracy and improve over baseline models. Food ingestion language found in tweets, such as census tract–level measures of food sentiment and healthiness, are associated with census tract–level food desert status.