bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analysis of the complete mitochondrial genomes of four cordyceps fungi
Authors: Zhong Can , Jin Jian , Zhou Rongrong , Liu Hao , Xie Jing , Wan Dan , Xiao Shengen , Zhang Shuihan 
Published: April 2022

AbstractCordyceps is a large group of entomogenous, medicinally important fungi. In this study, we sequenced, assembled, and annotated the entire mitochondrial genome of Ophiocordyceps xuefengensis, in addition to comparing it against other three complete cordyceps mitogenomes that were previously published. Comparative analysis indicated that the four complete mitogenomes are all composed of circular DNA molecules, although their sizes significantly differ due to high variability in intron and intergenic region sizes in the Ophiocordyceps sinensis and O. xuefengensis mitogenomes. All mitogenomes contain 14 conserved genes and two ribosomal RNA genes, but varying numbers of tRNA introns. The Ka/Ks ratios for all 14 PCGs and rps3 were all less than 1, indicating that these genes have been subject to purifying selection. Phylogenetic analysis was conducted using concatenated amino acid and nucleotide sequences of the 14 PCGs and rps3 using two different methods (Maximum Likelihood and Bayesian analysis), revealing highly supported relationships between O. xuefengensis and other Ophiocordyceps species, in addition to a close relationship with O. sinensis. Further, the analyses indicated that cox1 and rps3 play important roles in population differentiation. These mitogenomes will allow further study of the population genetics, taxonomy, and evolutionary biology of medicinally important cordyceps species.
A Photoelectrochemical Sensor for Firstly the Detection of Amlodipine Besylate Based on an MnC4Pc Coated ZnO Composite Materials
Authors: Li Xueying , Li Xiaokun , Feng Suxiang 
Published: April 2022

AbstractIn this study, tetracarboxylic manganese phthalocyanine coated nano‐zinc oxide (MnC4Pc‐ZnO) composite material was prepared by in‐situ growth method and modified with indium tin oxide (ITO) glass electrode to construct a photoelectrochemical (PEC) sensor. A PEC sensor for the determination of amlodipine besylate (AB) was developed for the first time based on the principle of precipitation reaction between heavy metal ions and dihydropyridine and the recombination suppression effect of the material. The morphology and optical properties of the MnC4Pc‐ZnO composites were characterized by scanning electron microscopy (SEM) and ultraviolet‐visible diffuse reflectance spectroscopy (UV‐vis DRS). Chronoamperometry (i‐t) and electrochemical impedance spectroscopy (EIS) were used to study the PEC behavior of ITO electrodes modified by MnC4Pc‐ZnO composite material. The study found that the MnC4Pc‐ZnO composite material has a good photocurrent response to AB, and there was a good linear relationship between the concentration range of 75 nM‐250 μM, the linear equation was I(μA)=−5.2×10−8×lgC+3.2×10−8 (r=0.9947), a limit of detection (LOD) of 20 nM. In addition, MnC4Pc‐ZnO/ITO also has good selectivity and stability. The PEC sensor detects amlodipine besylate tablets, amlodipine besylate dispersible tablets, and biological samples, with standard addition recovery rates of 96.11 % and 103.96 %, respectively. The determination result has good accuracy, and the PEC sensor provides a new method for detecting AB.
Investigations of the through‐thickness residual stress distribution during the partial heating roll forming process of square and rectangular hollow steel sections
Authors: Mehari Zelalem Abathun , Han Jingtao 
Published: April 2022

AbstractWith the growing demand for rectangular and square hollow steel sections in the last few decades, the cold roll forming process has become a widely acknowledged manufacturing method. However, the residual stress generated during the roll forming process is one of the primary concerns on roll‐formed products. One of the leading sources of residual stress is the severe plastic deformation that sheet metal experiences. It is well‐known that residual stress significantly affects the product's service life. In this regard, several researchers have conducted numerical and experimental investigations of residual stress distributions on roll‐formed steel sections. However, most of the studies found in the literature have been confined to the measurement of residual surface stresses. On the other hand, experimental studies conducted on fatigue and load‐carrying capacity of hollow structural steels have shown that there is indeed a simple relation between the through‐thickness residual stress distributions and mechanical properties of structures. Thus, this article employed a proper numerical modeling procedure using LS‐DYNA's finite element code to explore through‐thickness residual stress distributions generated during the roll forming process of rectangular and square hollow steel sections from different material grades. Moreover, a small‐scale parametric study was conducted to explore the effects of the partial heating roll forming method on through‐the‐thickness residual stress distributions.
Preventing sour gas kicks during workover of natural gas wells from deep carbonate reservoirs with anti‐hydrogen sulfide fuzzy‐ball kill fluid
Authors: Yan Zhenfeng , Okere Chinedu J. , Zeng Xinghang , Yao Zhonghui , Su Guandong , Gan Maozong , Fu Yarong , Tao Xiujuan , Zheng Lihui 
Published: April 2022

AbstractWorkover of natural gas wells in deep carbonate gas reservoirs (DCRs) is facing multiple challenges such as fluid leakage, high temperature, and hydrogen sulfide (H2S) gas kick. Hence, well‐killing fluids with satisfactory plugging ability, high‐temperature tolerance, and anti‐H2S ability are necessary. In this study, we developed a multifunctional anti‐hydrogen sulfide fuzzy‐ball kill fluid (AFKF) for preventing sour gas kicks in DCRs. The performance of the AFKF was optimized and analyzed via experiments and verified through a case study application. The results showed that the fuzzy‐ball structures in the AFKFs demonstrated good stability under extreme H2S aging. The rate of change of certain critical rheological parameters such as apparent viscosity, dynamic plastic ratio, and density of AFKFs before and after hot rolling were no more than 5%. After plugging the fractures with the AFKFs at temperatures between 110°C and 150°C, the inlet driving pressure of the fractures increased from 20.73°C to 21.07 MPa, and no fluid loss was observed at the core outlet after a secondary displacement of formation water. The permeability recovery rate was greater than 90%. Application of AFKF in well DW‐2 showed that the shut‐in pressure rose to 24.6 MPa with no trace of H2S gas at the wellhead after 4 days. The investigation of the H2S mitigation mechanisms revealed that the plugging of the seepage channels by AFKFs forms interconnected bonds that improve the mechanical properties of the reservoir. Additionally, AFKFs absorb H2S gases by protonation and dissociation reactions which convert the hazardous gas into an aqueous solution of sulfide ions (S2−). The proposed AFKF has proven to be effective means of mitigating H2S in DCRs, and minimize the negative impacts of environmental polution, health risks, and equipment corrosion.
Lightweight branched blockchain security framework for Internet of Vehicles
Authors: Gupta Manik , Patel Ram Bahadur , Jain Shaily , Garg Hitendra , Sharma Bhisham 
Published: April 2022

AbstractThe vision of the Internet of Vehicles (IoV) has acquired widespread acceptance as a result of the development of wireless technology. Its ability to provide drivers with various mobile services has made it an attractive application. Blockchain based security solution is considered good in various applications of IoV till now. But all the frameworks and architectures developed so far in IoV adopt the load of blockchain. So, it is generally deployed on or above edge computing devices, keeping lower structure of the frameworks traditional as managing blockchain with low computing devices on the physical layer is really a challenge. Securing communication in an IoV environment requires ensuring strong authentication and encryption. Although limited efforts are accessible for strong authentication and secure communication but, the lightweight characteristic is absent from this list. This article is proposing a lightweight secured framework for blockchain based IoV that offers strong authentication and secure communication. After securely authorization of the vehicle, it introduces the concept of branched blockchain taking into the consideration of most recently used block, so that the low powered devices can also adopt the security benefits of the blockchain. The existing mining systems are not designed to handle the needs of the IoV at the physical layer. Some of the key features of the proposed framework are lightweight blockchain for physical layer and above, load balancing, scalability, availability and decentralization. According to the relative research, which takes into account factors like computation and transmission costs, our suggested framework outperforms already implemented ones. This framework can act as base of new research verticals where anyone is looking forward for a lightweight blockchain variant applicable on physical layer of IoV.
Bioactive compounds from Cucumis melo L. fruits as potential nutraceutical food ingredients and juice processing using membrane technology
Authors: Mallek‐Ayadi Sana , Bahloul Neila , Baklouti Semia , Kechaou Nabil 
Published: April 2022

AbstractThe present study was designed to evaluate the nutritional composition of melon pulp Maazoun variety, in order to explore its potential attitude as a natural source of nutrients and bioactive molecules. The chemical characterization showed that the pulp was rich in moisture, carbohydrate, dietary fibers, and minerals, as well as carotenoids and phenolic compounds. The chromatographic analysis indicated that amentoflavone (16.14 mg/100 g) and gallic acid (13.56 mg/100 g) were the most abundant phenolic compounds. Melon flesh has an interesting volatile profile in which, mostly esters and alcohols are considered as the key odorants of this appreciated fruit. Melon juice was filtered through crossflow microfiltration that provides more translucent juice and accentuation of yellow color. During clarification process, the permeate flux was reduced by 50% in approximately 40 min. Results proved that the richness of melons in nutrients and bioactive phytochemicals makes them useful as a potential source of antioxidants and suitable as nutraceutical supplements.
Surfactant protein D: A useful biomarker for distinguishing COVID‐19 pneumonia from COVID‐19 pneumonia‐like diseases
Authors: Togashi Yuki , Kono Yuta , Okuma Takashi , Shioiri Nao , Mizushima Reimi , Tanaka Akane , Ishiwari Mayuko , Toriyama Kazutoshi , Kikuchi Ryota , Takoi Hiroyuki , Abe Shinji 
Published: April 2022

AbstractIntroductionComputed tomography is useful for the diagnosis of coronavirus disease (COVID‐19) pneumonia. However, many types of interstitial lung diseases and even bacterial pneumonia can show abnormal chest shadows that are indistinguishable from those observed in COVID‐19 pneumonia. Thus, it is necessary to identify useful biomarkers that can efficiently distinguish COVID‐19 pneumonia from COVID‐19 pneumonia‐like diseases. Herein, we investigated the usefulness of serum Krebs von den Lungen 6 (KL‐6) and surfactant protein D (SP‐D) for identifying patients with COVID‐19 pneumonia among patients with abnormal chest shadows consistent with COVID‐19 pneumonia.MethodThis was a retrospective cohort study of consecutive patients who underwent evaluation of serum KL‐6 and SP‐D at a single center from February 2019 to December 2020. A total of 54 patients with COVID‐19 pneumonia and 65 patients with COVID‐19 pneumonia‐like diseases were enrolled in this study from the source population. Serum KL‐6 and SP‐D levels in both groups were analyzed.ResultThe serum levels of KL‐6 and SP‐D in patients with COVID‐19 pneumonia were significantly lower than those in patients with COVID‐19 pneumonia‐like disease (median [interquartile range]: 208.5 [157.5–368.5] U/ml vs. 430 [284.5–768.5] U/ml, p < 0.0001 and 24.7 [8.6–51.0] ng/ml vs. 141 [63.7–243.5] ng/ml, p < 0.0001, respectively). According to receiver operating characteristic (ROC) analysis, the areas under the ROC curves (95% confidence intervals) of serum KL‐6 and SP‐D levels for distinguishing COVID‐19 pneumonia from COVID‐19 pneumonia‐like diseases were 0.761 (0.675–0.847) and 0.874 (0.812–0.936), respectively. The area under the ROC curve of serum SP‐D was significantly larger than that of serum KL‐6 (p = 0.0213), suggesting that serum SP‐D can more efficiently distinguish COVID‐19 pneumonia from COVID‐19 pneumonia‐like diseases.ConclusionSerum SP‐D is a promising biomarker for distinguishing COVID‐19 pneumonia from COVID‐19 pneumonia‐like diseases. Serum SP‐D can be useful for the management of patients with abnormal chest shadow mimicking COVID‐19 pneumonia.
Enhancing convolutional neural network model with spectral features for the identification of cervical dysplasia
Authors: Karim Kutty Sabeena , Chandrasekhara Menon Gopakumar 
Published: April 2022

AbstractCervical cell classification plays a key role in the computer‐based screening and diagnosis. This article focuses on cell classification and grading to differentiate the stages of cervical dysplasia. The proposed framework uses a unification of wavelet transform and convolutional neural network (CNN) for segregating spectral and spatial features from papanicolaou stained (pap) smear images. A correlation‐based feature selection is adopted to find relevant features from the CNN model. Random Forest classifier is then incorporated to identify cervical dysplasia from the extracted features. The proposed framework is verified on three publicly available datasets. Using the first dataset, the method obtained an average accuracy of 98.12% and area under curve (AUC) of 0.999. In the second (Sipakmed) and third (Herlev) dataset that consists of cell images of both normal and dysplastic condition, the method achieved an accuracy of 97.01%, 82.60% and AUC of 0.999 and 0.907, respectively. The observations of the study imply that spectral features with feature selection along with a proven machine learning model improves the detection rate of cervical dysplasia.
Preparation and properties investigation of biodegradable poly (glycerol sebacate‐co‐gelatin) containing nanoclay and graphene oxide for soft tissue engineering applications
Authors: Golbaten‐Mofrad Hooman , Salehi Mohammad Hadi , Jafari Seyed Hassan , Goodarzi Vahabodin , Entezari Maliheh , Hashemi Mehrdad 
Published: April 2022

AbstractThis study has attempted to systematically investigate the influence of nanoclay and graphene oxide (GO) on thermal, mechanical, hydrophobic, and, most importantly, biological properties of poly(glycerol sebacate)/gelatin (PGS/gel) nanocomposites. The PGS/gel copolymer nanocomposites were successfully synthesized via in situ polymerization, approved by rudimentary characterization methods. The nanofillers were appropriately dispersed within the elastomeric matrix according to morphological studies. Also, the fillers posed as a hydrophobic entity that slightly decreased the hydrophilic properties of PGS/gel. This could be sensed clearly in hybrid composite due to the robust network of GO and clay. Water contact angle values for gelatin‐contained nanocomposites were reported in the range of 38.42° to 66.7°, indicating the hydrophilic nature of the prepared samples. Thermal and mechanical studies of nanocomposites displayed rather contradicting results as the former improved while a slight decrease in the latter was noticed compared to the pristine specimens. In dry conditions, their storage modulus was in the range of 0.94–6.4 MPa, making them suitable for mimicking some soft tissues. The swelling ratio for nanocomposites containing nanoparticles was associated with an ascending trend so that GO improved the swelling rate by up to 45%. Biological analyses, such as Ames and in vitro cell viability tests, exhibited promising outcomes. As for the mutagenesis effect, the PGS and hybrid samples showed negative results. The presence of functional groups on the nanofillers' surface positively influenced the cells' metabolic activity as well as its attachment to the matrix. After 7 days, the cell proliferation rate resulted in an 82% improvement for the GO‐containing nanocomposite, significantly higher than its neat counterpart (65%). This study has shown the feasibility of the prepared bio‐elastomer nanocomposites for diverse tissue engineering applications.
Electronic structure, sodium diffusion and redox potentials of low‐symmetry NaMFe(MoO4)3 (M = Mg, Ni)
Authors: Serdtsev Alexander V. , Medvedeva Nadezhda I. 
Published: April 2022

AbstractSodium polyanionic compounds with transition metals are of considerable research interest for the search of new cathode materials for sodium‐ion batteries. In this work, we employed ab initio calculations to evaluate three key battery properties: phase stability, diffusion barriers and redox voltage of low‐symmetry molybdates NaMFe(MoO4)3 (M = Mg, Ni) with α‐ and β‐NaFe2(MoO4)3 structures. First, we showed that the Hubbard Ucorrection within the GGA + Uapproach is necessary to correctly refer these molybdates to semiconductors. The sodium diffusion along various pathways was thoroughly examined, which allowed us to establish the most probable pathways with the lowest migration barriers. These compounds have different directions of sodium diffusion with twice different barriers that was associated to the peculiarities of their crystal structure. The high potentials and structural stability during sodium extraction, along with low‐diffusion barriers predicted for NaMFe(MoO4)3 (M = Mg, Ni) indicate that these molybdates may be promising high‐voltage cathode materials for sodium‐ion batteries.
Application of thromboelastography in diagnosing normal pregnancies and pregnancies with complications
Authors: Zhao Hongyan , Cheng Hui , Huang Maowen , Mei Fangchao 
Published: April 2022

AbstractBackgroundThis observational study aimed to compare the potential application of thromboelastography (TEG) in diagnosing women with normal pregnancy (NP) and women with threatened abortion (TA), missed abortion (MA), embryo arrest (EA), fetal death (FD), history of abnormal pregnancy (HAP), and antiphospholipid antibody syndrome (AA).MethodsAccording to the relevant clinical criteria, patients were divided into groups, and their blood samples were subjected to TEG. Next, the parameters R, K, α‐angle, MA, LY‐30, G, and coagulation index (CI) were analyzed. Partial correlation analysis was used to analyze correlation between groups of data. LSD‐t test and Dunnett's T3 test were used to analyze continuous variables. Ordinal categorical variables were compared using ordinal logistic regression analysis and estimate odds ratio of risk factors. A receiver operating characteristic (ROC) curve was constructed to detect the ability of TEG to recognize various parameters, and areas under the curve were compared using Delong's test for diagnosing pregnancy‐related diseases.ResultsMA had a negative effect on the MA parameter in TEG; EA had a negative effect on the MA and G parameters; HAP had a negative effect on the CI parameter and a positive effect on the R parameter; AA had a negative effect on the CI parameter. Compared with that of the NP group, the G of the EA (p = 0.014) group and the CI of the TA (p = 0.036) MA (p = 0.08) EA (p = 0.026) HAP (p = 0.000004) and AA (p = 0.002) groups were reduced. In the ordinal logistic regression analysis, compared with that of the NP group, the high R value of the HAP group accounted for more than that of the NP group (OR = 48.76, p = 0.001); the high K value of the AA group accounted for more than that of the NP group (OR = 17.00, p = 0.023); the angle value distributions of the TA and AA groups were different from that of the NP group (OR = 3.30, p = 0.039; OR = 0.14, p = 0.029); the low MA value of the MA, EA, and HAP groups accounted for more than that of the NP group (OR = 0.16, p = 0.03; OR = 0.26, p = 0.005; OR = 0.11, p = 0.008); and the low CI value of the HAP group accounted for more than that of the NP group (OR = 0.09, p = 0.005). In the ROC analysis, there were no significant differences in the TEG parameters of pregnant women belonging to the NP and TA, NP and MA, NP and EA, NP and FD, NP and HAP, and NP and AA groups (p > 0.05).
Marine microbial bioprospecting: Exploitation of marine biodiversity towards biotechnological applications—a review
Authors: Hosseini Hoda , Al‐Jabri Hareb M. , Moheimani Navid R. , Siddiqui Simil A. , Saadaoui Imen 
Published: April 2022

AbstractThe increase in the human population causes an increase in the demand for nutritional supplies and energy resources. Thus, the novel, natural, and renewable resources became of great interest. Here comes the optimistic role of bioprospecting as a promising tool to isolate novel and interesting molecules and microorganisms from the marine environment as alternatives to the existing resources. Bioprospecting of marine metabolites and microorganisms with high biotechnological potentials has gained wide interest due to the variability and richness of the marine environment. Indeed, the existence of extreme conditions that increases the adaptability of marine organisms, especially planktons, allow the presence of interesting biological species that are able to produce novel compounds with multiple health benefits and high economical value. This review aims to provide a comprehensive overview of marine microbial bioprospecting as a growing field of interest. It emphasizes functional bioprospecting that facilitates the discovery of interesting metabolites. Marine bioprospecting was also discussed from a legal aspect for the first time, focusing on the shortcomings of international law. We also summarized the challenges facing bioprospecting in the marine environment including economic feasibility issues.
Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?
Authors: Li Yuan , Wang Xincheng , Gong Tianyu , Wang Haifeng 
Published: April 2022

AbstractThis study explores how firms sought to effectively match their internal competence with external resources from the supply chain network to improve operational resilience (OR) during the COVID‐19 pandemic. Drawing upon matching theory, this study provides an internal–external matching perspective based on flexibility–stability features of OR to explain the operational mechanisms underlying the different matchings between internal flexibility (i.e., product diversity)/stability (i.e., operational efficiency) and external flexibility (i.e., structural holes)/stability (i.e., network centrality). We find that more heterogeneous matchings between internal (external) flexibility and external (internal) stability have a complementary effect that enhances OR, whereas more homogeneous matchings between internal flexibility (or stability) and external flexibility (or stability) have a substitutive effect that reduces OR. This study provides valuable contributions to research focusing on the supply chain, organizational resilience, and operations management.