bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antioxidant, cytotoxic and apoptotic activities of the rhizome of Zingiber zerumbet Linn. in Ehrlich ascites carcinoma bearing Swiss albino mice
Authors: Ali Hanif , Hasi Rumana Yesmin , Islam Majidul , Haque Md Shajedul , Alkhanani Mustfa F. , Almalki Atiah H. , Haque Shafiul , Sayyed R. Z. , Yeasmin Tanzima 
Published: July 2022

AbstractDue to having a long history of traditional uses as a functional food, Zingiber zerumbet was selected here to explore the inherent antioxidant and antineoplastic activities of methanolic extract of its rhizome (MEZZR) against Ehrlich ascites carcinoma (EAC) cells. The rich polyphenol containing MEZZR showed a marked DPPH, ABTS, nitric oxide radicals and lipid peroxidation inhibition activity with an IC50 of 3.43 ± 1.25, 11.38 ± 1.39, 23.12 ± 3.39 and 16.47 ± 1.47 µg/ml, respectively, when compared to the standard catechin. In vivo, MEZZR significantly inhibited EAC cell growth, decreased body weight gain, increased life span and restored the altered hematological characteristics of EAC-bearing mice. Moreover, MEZZR induced nuclear condensation and fragmentation, which are notable features of apoptosis as observed by fluorescence microscopy after staining EAC cells of MEZZR-treated mice with Hoechst 33342. Additionally, in vitro, the cell growth inhibition caused by the MEZZR in MTT assay, was remarkably decreased in the presence of caspase-3, -8 and -9 inhibitors. This study thus suggests that MEZZR may possess promising antiproliferative efficacy against EAC cells by inducing cell apoptosis.
Applying fluorescent dye assays to discriminate Escherichia coli chlorhexidine resistance phenotypes from porin and mlaA deletions and efflux pumps
Authors: Gregorchuk Branden S. J. , Reimer Shelby L. , Slipski Carmine J. , Milner Kieran A. , Hiebert Shannon L. , Beniac Daniel R. , Booth Timothy F. , Zhanel George G. , Bay Denice C. 
Published: July 2022

AbstractBacterial resistance to the antiseptic chlorhexidine (CHX), is a growing problem, recently shown to be caused by deleterious mutations to the phospholipid transport system component (mlaA) as well as efflux pump overexpression. Comparisons of CHX resistance mechanisms, such as porin deletions (ompCF), and over-expressed efflux pumps (acrB, qacE, aceI), are lacking and may be distinguishable using antiseptic rapid fluorescent dye testing assays. Using E. coli K-12 CHX adapted isolates (CHXR1), gene deletion mutants, and over-expressed transformants the phenotypes of these CHX resistance genes were compared using antimicrobial susceptibility tests (AST), rapid fluorescent propidium iodide dye-based membrane integrity assays (RFDMIA), and scanning electron microscopy (SEM). AST findings showed CHXR1, ΔacrB, ΔompCF, and transformants pCA24N-aceI and pCA24N-mlaA conferred greater (two to fourfold) MIC changes when compared to matched controls. Examination of these mutants/transformants using CHX RFDMIA showed that porin dual-deletions (ΔompCF) and mlaA alterations (ΔmlaA; pCA24N-mlaA, CHXR1) were distinguishable from controls. Results for over-expressed (pMS119EH-aceI) and deleted (ΔacrB) efflux pump RFDMIA could not be distinguished with propidium iodide, only with ethidium bromide, suggesting propidium iodide is better suited for detecting porin and mlaA associated CHX resistance mechanisms. SEM of CHXR1 and unadapted E. coli cells exposed to increasing CHX concentrations revealed that CHX does not visibly damage cell envelope integrity at any tested concentration but did identify elongated CHXR1 cells. ΔmlaA confers similar levels of CHX resistance as efflux overexpression and porin deletions, however, only outer membrane-altering porin and mlaA deletions can be reliably distinguished using RFDMIA.
Pseudo-capacitive and kinetic enhancement of metal oxides and pillared graphite composite for stabilizing battery anodes
Authors: Luo Yongguang , Wang Lingling , Li Qian , Choi Jungsue , Park G. Hwan , Zheng Zhiyong , Liu Yang , Wang Hongdan , Lee Hyoyoung 
Published: July 2022

AbstractNanostructured TiO2and SnO2possess reciprocal energy storage properties, but challenges remain in fully exploiting their complementary merits. Here, this study reports a strategy of chemically suturing metal oxides in a cushioning graphite network (SnO2[O]rTiO2-PGN) in order to construct an advanced and reliable energy storage material with a unique configuration for energy storage processes. The suggested SnO2[O]rTiO2-PGN configuration provides sturdy interconnections between phases and chemically wraps the SnO2nanoparticles around disordered TiO2(SnO2[O]rTiO2) into a cushioning plier-linked graphite network (PGN) system with nanometer interlayer distance (~ 1.2 nm). Subsequently, the SnO2[O]rTiO2-PGN reveals superior lithium-ion storage performance compared to all 16 of the control group samples and commercial graphite anode (keeps around 600 mAh g−1at 100 mA g−1after 250 cycles). This work clarifies the enhanced pseudo-capacitive contribution and the major diffusion-controlled energy storage kinetics. The validity of preventing volume expansion is demonstrated through the visualized image evidence of electrode integrity.
MIL-125-based nanocarrier decorated with Palladium complex for targeted drug delivery
Authors: Bagherzadeh Mojtaba , Safarkhani Moein , Kiani Mahsa , Radmanesh Fatemeh , Daneshgar Hossein , Ghadiri Amir Mohammad , Taghavimandi Fahimeh , Fatahi Yousef , Safari-Alighiarloo Nahid , Ahmadi Sepideh , Rabiee Navid 
Published: July 2022

AbstractThe aim of this work was to provide a novel approach to designing and synthesizing a nanocomposite with significant biocompatibility, biodegradability, and stability in biological microenvironments. Hence, the porous ultra-low-density materials, metal–organic frameworks (MOFs), have been considered and the MIL-125(Ti) has been chosen due to its distinctive characteristics such as great biocompatibility and good biodegradability immobilized on the surface of the reduced graphene oxide (rGO). Based on the results, the presence of transition metal complexes next to the drug not only can reinforce the stability of the drug on the structure by preparing π–π interaction between ligands and the drug but also can enhance the efficiency of the drug by preventing the spontaneous release. The effect of utilizing transition metal complex beside drug (Doxorubicin (DOX)) on the drug loading, drug release, and antibacterial activity of prepared nanocomposites on the P. aeruginosa and S. aureus as a model bacterium has been investigated and the results revealed that this theory leads to increasing about 200% in antibacterial activity. In addition, uptake, the release of the drug, and relative cell viabilities (in vitro and in vivo) of prepared nanomaterials and biomaterials have been discussed. Based on collected data, the median size of prepared nanocomposites was 156.2 nm, and their biological stability in PBS and DMEM + 10% FBS was screened and revealed that after 2.880 min, the nanocomposite’s size reached 242.3 and 516 nm respectively. The MTT results demonstrated that immobilizing PdL beside DOX leads to an increase of more than 15% in the cell viability. It is noticeable that the AST:ALT result of prepared nanocomposite was under 1.5.
Progression detection capabilities of circumpapillary and macular vessel density in advanced glaucomatous eyes
Authors: Lee Anna , Sung Kyung Rim , Shin Joong Won 
Published: July 2022

AbstractThis study investigated the progression detection capabilities of circumpapillary and macular vessel density (cpVD and mVD) in advanced primary open angle glaucoma (POAG) eyes using the rates of change in VD (trend-based analysis) and variability limits derived from healthy eyes. (event-based analysis) This study included 75 POAG eyes [visual field (VF) mean deviation < − 10 decibels, mean follow-up; 2.3 years] and 33 healthy eyes. Of 75 POAG eyes, 17 (22.7 %) and 58 eyes (77.3 %) were classified into the VF progression and stable groups, respectively. The VF progression group showed significantly faster VD loss than the stable group. (cpVD; − 1.76 vs. − 0.84 %/year, mVD; − 1.10 vs. − 0.47 %/year, P < 0.05) However, the rates of change in circumpapillary retinal nerve fiber layer and macular ganglion cell complex thickness were similar between the groups. (cpRNFLT; − 0.67 vs. − 0.53 $$\mu$$
μ
m/year, GCCT; − 0.48 vs. − 0.12 $$\mu$$
μ
m/year, P > 0.05) Event-based analysis showed stronger agreement between VD and VF progression (cpVD; kappa value (k) = 0.630, mVD; k = 0.667, P < 0.05) than that between structure and VF progression. (cpRNFLT; k = 0.111, GCCT; k = 0.194, P > 0.05). In conclusion, VD loss showed better progression detection capabilities than structural loss in advanced POAG eyes. Detection of cpVD and mVD loss may be useful for detecting progression in the advanced stages of POAG to complement other reference standard strategies.
Subtercola endophyticus sp. nov., a cold-adapted bacterium isolated from Abies koreana
Authors: Jiang Lingmin , Peng Yuxin , Seo Jiyoon , Jeon Doeun , Jo Mi Gyeong , Lee Ju Huck , Jeong Jae Cheol , Kim Cha Young , Park Hyeong Cheol , Lee Jiyoung 
Published: July 2022

AbstractA novel Gram-stain-positive, aerobic bacterial strain, designated AK-R2A1-2 T, was isolated from the surface-sterilized needle leaves of an Abies koreana tree. Strain AK-R2A1-2 T had 97.3% and 96.7% 16S rRNA gene sequence similarities with Subtercola boreus K300T and Subtercola lobariae 9583bT, respectively, but formed a distinct phyletic lineage from these two strains. Growth of strain AK-R2A1-2 T was observed at 4–25 °C at pH 5.0–8.0. Strain AK-R2A1-2 T contained menaquinone 9 (MK-9) and menaquinone 10 (MK-10) as the predominant respiratory quinones. The major cellular fatty acids were anteiso-C15:0 and summed feature 8 (C18:1ω7c or/and C18:1ω6c), and the polar lipids included diphosphatidylglycerol (DPG) and three unknown aminolipids, AKL2, AKL3, and AKL4. The complete genome of strain AK-R2A1-2 T was sequenced to understand the genetic basis of its survival at low temperatures. Multiple copies of cold-associated genes involved in cold-active chaperon, stress response, and DNA repair supported survival of the strain at low temperatures. Strain AK-R2A1-2 T was also able to significantly improve rice seedling growth under low temperatures. Thus, this strain represents a novel species of the genus Subtercola, and the proposed name is Subtercola endophyticus sp. nov. The type strain is AK-R2A1-2 T (= KCTC 49721 T = GDMCC 1.2921 T).
IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling
Authors: Mohammadi Babak , Safari Mir Jafar Sadegh , Vazifehkhah Saeed 
Published: July 2022

AbstractAs a complex hydrological problem, rainfall-runoff (RR) modeling is of importance in runoff studies, water supply, irrigation issues, and environmental management. Among the variety of approaches for RR modeling, conceptual approaches use physical concepts and are appropriate methods for representation of the physics of the problem while may fail in competition with their advanced alternatives. Contrarily, machine learning approaches for RR modeling provide high computation ability however, they are based on the data characteristics and the physics of the problem cannot be completely understood. For the sake of overcoming the aforementioned deficiencies, this study coupled conceptual and machine learning approaches to establish a robust and more reliable RR model. To this end, three hydrological process-based models namely: IHACRES, GR4J, and MISD are applied for runoff simulating in a snow-covered basin in Switzerland and then, conceptual models’ outcomes together with more hydro-meteorological variables were incorporated into the model structure to construct multilayer perceptron (MLP) and support vector machine (SVM) models. At the final stage of the modeling procedure, the data fusion machine learning approach was implemented through using the outcomes of MLP and SVM models to develop two evolutionary models of fusion MLP and hybrid MLP-whale optimization algorithm (MLP-WOA). As a result of conceptual models, the IHACRES-based model better simulated the RR process in comparison to the GR4J, and MISD models. The effect of incorporating meteorological variables into the coupled hydrological process-based and machine learning models was also investigated where precipitation, wind speed, relative humidity, temperature and snow depth were added separately to each hydrological model. It is found that incorporating meteorological variables into the hydrological models increased the accuracy of the models in runoff simulation. Three different learning phases were successfully applied in the current study for improving runoff peak simulation accuracy. This study proved that phase one (only hydrological model) has a big error while phase three (coupling hydrological model by machine learning model) gave a minimum error in runoff estimation in a snow-covered catchment. The IHACRES-based MLP-WOA model with RMSE of 8.49 m3/s improved the performance of the ordinary IHACRES model by a factor of almost 27%. It can be considered as a satisfactory achievement in this study for runoff estimation through applying coupled conceptual-ML hydrological models. Recommended methodology in this study for RR modeling may motivate its application in alternative hydrological problems.
Neural network-based method for diagnosis and severity assessment of Graves’ orbitopathy using orbital computed tomography
Authors: Lee Jaesung , Seo Wangduk , Park Jaegyun , Lim Won-Seon , Oh Ja Young , Moon Nam Ju , Lee Jeong Kyu 
Published: July 2022

AbstractComputed tomography (CT) has been widely used to diagnose Graves’ orbitopathy, and the utility is gradually increasing. To develop a neural network (NN)-based method for diagnosis and severity assessment of Graves’ orbitopathy (GO) using orbital CT, a specific type of NN optimized for diagnosing GO was developed and trained using 288 orbital CT scans obtained from patients with mild and moderate-to-severe GO and normal controls. The developed NN was compared with three conventional NNs [GoogleNet Inception v1 (GoogLeNet), 50-layer Deep Residual Learning (ResNet-50), and 16-layer Very Deep Convolutional Network from Visual Geometry group (VGG-16)]. The diagnostic performance was also compared with that of three oculoplastic specialists. The developed NN had an area under receiver operating curve (AUC) of 0.979 for diagnosing patients with moderate-to-severe GO. Receiver operating curve (ROC) analysis yielded AUCs of 0.827 for GoogLeNet, 0.611 for ResNet-50, 0.540 for VGG-16, and 0.975 for the oculoplastic specialists for diagnosing moderate-to-severe GO. For the diagnosis of mild GO, the developed NN yielded an AUC of 0.895, which is better than the performances of the other NNs and oculoplastic specialists. This study may contribute to NN-based interpretation of orbital CTs for diagnosing various orbital diseases
Quantification of synthetic errors during chemical synthesis of DNA and its suppression by non-canonical nucleosides
Authors: Masaki Yoshiaki , Onishi Yukiko , Seio Kohji 
Published: July 2022

AbstractSubstitutions, insertions, and deletions derived from synthetic oligonucleotides are the hurdles for the synthesis of long DNA such as genomes. We quantified these synthetic errors by next-generation sequencing and revealed that the quality of the enzymatically amplified final combined product depends on the conditions of the preceding solid phase chemical synthesis, which generates the initial pre-amplified fragments. Among all possible substitutions, the G-to-A substitution was the most prominently observed substitution followed by G-to-T, C-to-T, T-to-C, and A-to-G substitutions. The observed error rate for G-to-A substitution was influenced by capping conditions, suggesting that the capping step played a major role in the generation of G-to-A substitution. Because substitutions observed in long DNA were derived from the generation of non-canonical nucleosides during chemical synthesis, non-canonical nucleosides resistant to side reactions could be used as error-proof nucleosides. As an example of such error-proof nucleosides, we evaluated 7-deaza-2´-deoxyguanosine and 8-aza-7-deaza-2´-deoxyguanosine and showed 50-fold decrease in the error rate of G-to-A substitution when phenoxyacetic anhydride was used as capping reagents. This result is the first example that improves the quality of synthesized sequences by using non-canonical nucleosides as error-proof nucleosides. Our results would contribute to the development of highly accurate template DNA synthesis technologies.
A van der Waals force-based adhesion study of stem cells exposed to cold atmospheric plasma jets
Authors: Hajizadeh Kobra , Mehdian Hassan , Hajisharifi Kamal , Robert Eric 
Published: July 2022

AbstractCold atmospheric plasma has established its effect on cell adhesion. Given the importance of cell adhesion in stem cells, the current study investigates the effect of plasma treatment on Human Bone Marrow Mesenchymal Stem Cells (HBMMSCs) adhesion by which the differentiation and fate of cells are determined. In this paper, adhesion modification is considered not only for cell- ECM (Extra cellular Matrix), but also between suspended cells, and enhanced adhesions were found in both circumstances. Regarding the previous works, the increase of the cell–ECM adhesion during the plasma therapy was mostly attributed to the enhancement of the production and activity of integrin proteins. Nevertheless, considering the importance of van der Waals forces at the cellular level, the effect of cold plasma on VDWFs and so its effect on adhesion is investigated in this work for the first time, to the best of our knowledge. For this purpose, employing the semi-empirical methods, the role of the plasma therapy on the VDWF between the cells has been studied at three levels; (a) plasma-induced dipole formation, (b) Hammaker coefficient modification of culture medium, and c) cell roughness modification. For suspended cell condition, we conclude and support that van der Waals forces (VDWFs) enhancement has a key role in cell adhesion processes. We believe that, the present work gives a new physical insight in studying the plasma therapy method at the cellular level.
The prevalence of psychological stress in student populations during the COVID-19 epidemic: a systematic review and meta-analysis
Authors: Fang Yang , Ji Bo , Liu Yitian , Zhang Jingyu , Liu Qianwei , Ge Yunpeng , Xie Yana , Liu Cunzhi 
Published: July 2022

AbstractFollowing the COVID-19 outbreak, psychological stress was particularly pronounced in the student population due to prolonged home isolation, online study, closed management, graduation, and employment pressures. The objective of this study is to identify the incidence of psychological stress reactions in student populations following a global outbreak and the associated influencing factors. Four English databases (Pubmed, Embase, Cochrane Library, Web of Science) and four Chinese biomedical databases (Chinese Biomedical Literature Database, VIP Database for Chinese Technical Periodicals, China National Knowledge Infrastructure, Wanfang) were searched in this study. We also retrieved other search engines manually. The search period was from the time of database creation to 10 March 2022. This study included cross-sectional studies related to psychological stress reactions in student populations during the COVID-19 epidemic. Three groups of researchers screened the retrieved studies and assessed the quality of the included studies using the Agency for Healthcare Research and Quality Cross-Sectional Study Quality Assessment Checklist. A random-effects model was used to analyze the prevalence of depression, anxiety, stress, and fear symptoms in the student population during the COVID-19 epidemic. Of the 146,330 records retrieved, we included 104 studies (n = 2,088,032). The quality of included studies was moderate. The prevalence of depressive symptoms in the student population during the epidemic was 32.0% (95% CI [28.0–37.0%]); anxiety symptoms was 28.0% (95% CI [24.0–32.0%]); stress symptoms was 31.0% (95% CI [23.0–39.0%]); and fear symptoms was 33.0% (95% CI [20.0–49.0%]). The prevalence differed by gender, epidemic stage, region, education stage, student major and assessment tool. The prevalence of psychological stress in the student population during the COVID-19 epidemic may be higher compared to the global prevalence of psychological stress. We need to alleviate psychological stress in the student population in a targeted manner to provide mental health services to safeguard the student population.
Conventional and genetic risk factors for chronic Hepatitis B virus infection in a community-based study of 0.5 million Chinese adults
Authors: Hamilton Elizabeth , Yang Ling , Mentzer Alexander J. , Guo Yu , Chen Yiping , Lv Jun , Fletcher Robert , Wright Neil , Lin Kuang , Walters Robin , Kartsonaki Christiana , Yang Yingcai , Burgess Sushila , Sansome Sam , Li Liming , Millwood Iona Y. , Chen Zhengming 
Published: July 2022

AbstractDespite universal vaccination of newborns, the prevalence of chronic hepatitis virus B (HBV) infection and the associated disease burden remain high among adults in China. We investigated risk factors for chronic HBV infection in a community-based study of 512,726 individuals aged 30–79 years recruited from ten diverse areas during 2004–2008. Multivariable logistic regression was used to estimate odds ratios (ORs) of hepatitis B surface antigen (HBsAg) positivity recorded at baseline by sociodemographic and lifestyle factors, and medical history. In a random subset (n = 69,898) we further assessed the association of 18 single nucleotide polymorphisms (SNPs) previously shown to be associated with HBsAg positivity and development of chronic liver disease (CLD) (1600 cases). Several factors showed strong associations with HBsAg positivity, particularly younger age (< 40 vs. ≥ 60 years: OR 1.48, 95% CI 1.32–1.66), male sex (1.40, 1.34–1.46) and urban residency (1.55, 1.47–1.62). Of the 18 SNPs selected, 17 were associated with HBsAg positivity, and 14 with CLD, with SNPs near HLA-DPB1 were most strongly associated with both outcomes. In Chinese adults a range of genetic and non-genetic factors were associated with chronic HBV infection and CLD, which can inform targeted screening to help prevent disease progression.
Construction of a T7 phage display nanobody library for bio-panning and identification of chicken dendritic cell-specific binding nanobodies
Authors: Xu Hai , Li Ling , Deng Bihua , Hong Weiming , Li Ruiting , Guo Zijie , Hou Jibo , Govinden Roshini , Chenia Hafizah Y. 
Published: July 2022

AbstractDendritic cells (DCs) are the antigen-presenting cells that initiate and direct adaptive immune responses, and thus are critically important in vaccine design. Although DC-targeting vaccines have attracted attention, relevant studies on chicken are rare. A high diversity T7 phage display nanobody library was constructed for bio-panning of intact chicken bone marrow DCs to find DC-specific binding nanobodies. After three rounds of screening, 46 unique sequence phage clones were identified from 125 randomly selected phage clones. Several DC-binding phage clones were selected using the specificity assay. Phage-54, -74, -16 and -121 bound not only with chicken DCs, but also with duck and goose DCs. In vitro, confocal microscopy observation demonstrated that phage-54 and phage-74 efficiently adsorbed onto DCs within 15 min compared to T7-wt. The pull-down assay, however, did not detect any of the previously reported proteins for chicken DCs that could have interacted with the nanobodies displayed on phage-54 and phage-74. Nonetheless, Specified pathogen-free chickens immunized with phage-54 and phage-74 displayed higher levels of anti-p10 antibody than the T7-wt, indicating enhanced antibody production by nanobody mediated-DC targeting. Therefore, this study identified two avian (chicken, duck and goose) DC-specific binding nanobodies, which may be used for the development of DC-targeting vaccines.