bluuebunny/crossref_metadata_2025_split huggingface dataset:
A regional analysis of the industry performance of the Nelson Mandela Bay Metropolitan Municipality with the use of input-output tables
Authors: Neethling Roan , Grobler Wynand 
Published: July 2022

Abstract
The aim of this paper is to form an input-output table for the Nelson Mandela Bay Metropolitan Municipality by means of the non-survey method that is based on the estimates of the location quotient, which is derived from the South African National Social Accounting Matrix (SAM). The Nelson Mandela Bay Metropolitan Municipality is a region with major potential in its economic development and growth structures since it is host to the largest Industrial Development Zone (IDZ) in Southern Africa. Economic trends and economic analysis present imperative information that illustrates the strength of the region and the neighbouring population. The information provided from the economic analysis can support businesses and potential investors in making strategic judgements concerning the development in a community. The data can also be utilised to classify possible opportunities as the central region in the community. These probable opportunities may cause the specific region’s connection to the regions industry, local amenities and institutions. The first step in the investigation will be to acquire the input-output table for the Nelson Mandela Bay Metropolitan Municipality originating from the South African national input-output table by means of the Flegg technique, which is an established systemic method to measure the input coefficient of a given sub-national economy with indication to a specific time period. The Nelson Mandela Bay Metropolitan Municipality is a region with a rich history and the potential for growth is significant. Policy direction within the region should focus more on agricultural production, manufacturing, finance and trade, which will enable economic growth and employment opportunities.
Nonlinear relationship between glycated hemoglobin and cognitive impairment after acute mild ischemic stroke
Authors: Xu Lei , Xiong Qin , Du Yang , Huang Lu-wen , Yu Ming 
Published: July 2022

Abstract
Background: Stroke is the second most common cause of morbidity and mortality. Even mild stroke survivors have an increased risk of cognitive impairment. Studies have been conducted on the relationship between glycated hemoglobin (HbA1c) and cognitive decline, but the findings have been inconsistent. Therefore, this study examined the link between HbA1c levels and cognitive impairment following acute mild ischemic stroke.Methods: Data from 311 patients with acute mild ischemic stroke admitted to Suining Central Hospital, Sichuan Province, China, from January 1, 2015, to December 31, 2018, were evaluated. Fasting venous blood was taken to assess HbA1c levels on the day after admission. Cognitive function was assessed using the Chinese version of the Montreal Cognitive Assessment Scale (MoCA) 3-6 months after stroke onset. We used a generalized additive model and smooth curve fitting (penalty spline method) to assess the nonlinear relationship between HbA1c and poststroke cognitive impairment (PSCI).Results: This study included 311 patients aged 23 to 96 years old (mean age: 67.37±11.92 years), of whom 198 (63.67%) were men. Among the 311 stroke patients, 120 (38.59%) had PSCI. After adjusting for potential confounders, there was a nonlinear relationship between HbA1c and PSCI, with an inflection point of 8.2. To the left of the inflection point, the effect size, 95% confidence interval, and P value were 0.87, 0.58 to 1.31, and 0.5095, respectively; however, to the right of the inflection point, these numbers were 1.96, 1.08 to 3.58, and 0.0280.Conclusion: We found a nonlinear relationship between HbA1c and PSCI. When HbA1c was greater than 8.2%, HbA1c was positively correlated with PSCI.
Prevention of Age-related Neuromuscular Junction Degeneration in Sarcopenia by Low-magnitude High-frequency Vibration
Authors: Cheung Wing-Hoi , Bao Zhengyuan , Cui Can , Liu Chaoran , Long Yufeng , Wong Ronald Man Yeung , Qin Ling , Rubin Clinton , Chow Simon Kwoon-Ho 
Published: July 2022

Abstract
Neuromuscular junction (NMJ) degeneration is one of the pathological factors of sarcopenia. Low-magnitude high-frequency vibration (LMHFV) was previously reported effective in alleviating the progress of sarcopenia in SAMP8 mice. In this study, we observed more acetylcholine receptors (AChRs) branching in sarcopenic NMJ in humans. Utilizing a validated non-sarcopenic (SAMR1) versus sarcopenic (SAMP8) animal model, NMJ degeneration was observed to precede the onset of sarcopenia where the SAMR1 mice presented better NMJ function and more intact NMJ structure. After the treatment of LMHFV in SAMP8, progress of sarcopenia and NMJ degeneration were both alleviated with increased Dok7 expression, one protein important for NMJ assembly and function. In vitro, when Dok7 expression was knocked down, myotube diameter and acetylcholine receptors (AChRs) cluster formation were decreased, that could not be retarded by LMHFV. Further mechanistic investigation showed that LMHFV could suppress ERK1/2 activation and the blockade of ERK1/2 phosphorylation promoted AChRs clustering and increased Dok7 expression. In myotubes with ERK1/2 phosphorylation blocked, knocking down Dok7 could still reduce AChRs cluster formation, which could not be retarded by LMHFV. Therefore, effectiveness of LMHFV on Dok7 expression in NMJ degeneration was shown to act through suppressing ERK1/2 phosphorylation.
Assessment of mechanism involved in the apoptotic and anticancer activity of Quercetin and Quercetin-loaded chitosan nanoparticles
Authors: Doğan Murat 
Published: July 2022

Abstract
In prior studies, Quercetin was revealed to exhibit anticancer features in a variety of cancer cell lines. However, the impact of Quercetin on neuroblastoma is unknown. This study looked into the potential cytotoxic effects of Quercetin and Quercetin-loaded chitosan nanoparticles (NPs) on the SH-SY5Y cell line. In this study, NPs containing Quercetin was prepared and characterization studies were performed. The vitality of the cells was measured using the XTT test after 24 hours of treatment with various concentrations of Quercetin (0.5, 1, 2, 4, and 8 µg/mL). ELISA kits were used to detect the amounts of cleaved PARP, BCL-2, 8-Hydroxy-deoxyguanosine (8-oxo-dG), cleaved caspase 3, Bax, total oxidant, and total antioxidant in the cells. The results of the chitosan NPs characterization investigation revealed that the particle size, encapsulation effectiveness, and drug release profile of NPs were all appropriate for cell culture studies. Quercetin and Quercetin-loaded chitosan NPs significantly reduced cell viability in SH-SY5Y cells at different concentrations (**p < 0.05). 2 µg/mL Quercetin and Quercetin-loaded chitosan NPs significantly enhanced the levels of 8-oxo-dG, cleaved caspase 3, Bax, cleaved PARP, and total oxidant in ELISA testing. However, treatment with 2 µg/mL of Quercetin and Quercetin-loaded chitosan NPs did not affect the amount of BCL-2 protein. Overall, Quercetin and Quercetin-loaded chitosan NPs caused significant cytotoxicity in SH-SY5Y cells via producing oxidative stress, DNA damage, and eventually apoptosis.
Economic Growth with Foreign Trade on the Reverse Gear: India’s Re-experimentation
Authors: Mallik Jayanta Kumar 
Published: July 2022

Abstract
Hikes in customs tariffs in the period from 2011 (a de-facto reversal of the tariff reforms done during 1992-2008) and surge in the number of anti-dumping procedures initiated (ADPINI) by India in recent years make it a phenomenon of foreign trade on the reverse gear, although there is no apparent dilution in the emphasis on export promotion. This paper probes the interplay of some the long-term determinants of economic growth (such as, technological progress and human capital formation) associated with the changes noticed in foreign trade using data for the 1980-2020 period and deploying autoregressive distributed lag models. Tariff and ADPINI significantly influenced the import demand. Education, innovation, and competition are crucial determinants of productivity. The worsening in the position in all the three were responsible for the sharp drop in productivity growth in recent years. Erosion in competition and subdued productivity growth adversely impacted India’s export performance, post-2011. The argument that the recent slow growth in India’s exports was due to the slowdown in world economic activity is not assisted by data. These findings yield answers to a set of policy questions and provide an alternative on the economic slowdown in India during 2017-20. The long-term determinants of growth were crucial in the perceived-to-be-short term variation in economic growth in India, and this has relevance for the current policy debate on economic growth, globally and in India. The country experience may contribute to the understanding of contemporary growth process. JEL Codes: F13, F14, O4.
Spatial green growth in China: Exploring the positive role of investment in the treatment of industrial pollution
Authors: Imran Muhammad , Hayat Naveed , Saeed Muhammad Ali , Sattar Abdul , Wahab Salman 
Published: July 2022

Abstract
The industrial sector of China is critical to the country's economic growth. On the other side, industrialization has resulted in a high rate of emissions, pushing China to spend extensively on industrial pollution remediation. As a result, this study looks at the relationship between investment completed in the treatment of industrial pollution (ICITP) and economic development. A time-fixed effect spatial error model was used to analyse regional data from China from 1999 to 2018. The data reveal a positive association between ICTIP and regional economic growth, both in the short and long term. Furthermore, the negative consequences of urban wages and foreign investment on ICTIP are having the reverse effect on regional green development, necessitating ecologically friendly actions to mitigate the negative environmental effects of both.JEL Codes: E62, Q56, R23, C21.
Optimization of ultrasonic assisted extraction and biological activity of total polyphenols from Toona sinensis using response surface methodology
Authors: Wen Yao , Mai Xueying 
Published: July 2022

Abstract

To optimize the extraction process and activity detection of total polyphenols from Toona sinensis. A Box–Behnken design of response surface methodology was employed to further optimize ultrasonic-assisted extraction (UAE) conditions for T. sinensis stems total polyphenols (TSTP). The results showed that optimized extraction conditions were ultrasonic power of 200 W, liquid-solid ratio of 50 mL/g, ultrasonic temperature of 60°C and ultrasonic time of 22 min. Under these conditions, the mean experimental value of extraction yield (8.13%) was achieved, which was about 49.44% higher than that of distilled water leaching extraction. As compared to TSTP, TSTP after purification (TSPTP) had higher purity of 57.70%, which was nearly 45.33% higher than that of TSTP (12.37%). TSPTP had higher α-glucosidase and α-amylase inhibitory activities as well as DPPH· and ABTS·+ scavenging activities with an IC50 value of 0.201, 0.041, 0.27 and 0.07 mg/mL. TSPTP from T. sinensis could be considered as multifunctional bioactive ingredients to be used in anti-hyperglycemic pharmaceutical formulation and antioxidant.
Co-culture of the Potential First Reported Streptomyces flavalbus of Sonneratia alba from Ujung Piring, Jepara, Indonesia
Authors: Azhar Nuril , Yudiati Ervia 
Published: July 2022

Abstract
Marine Actinobacteria from mangrove are rich in novel secondary metabolites resource as a promising antibacterial agent. The silent gene assessment by gen co-cuture fermentation of Actino-Actino, Actino-other bacteria and Actino-fungi is an alternative approach to create the novel product. This research aims to discover and identify the potential Actinobacteria from the mangrove sediment and root with co-culture as an antibacterial agent. 28 strains of Actinobacteria were found, composed of 17 strains from the sediment and 11 strains from the endophyte root of Sonneratia alba. Out of 580 fermentation, 540 fermenter co-cultures and 34 single fermenter cultures were assessed. Twenty-one pairs of co-culture were resulted positively against Staphylococcus aureus, and 16 pairs were positive against Pseudomonas aeruginosa. The highest clearance zone against S. aureus was obtained from 10 (Actino)-Aspergillus fumigatus (dead body) extract (21.57±0.90 mm) while against P. aeruginosa was resulted from co-culture strains 3/37 extract (19.18±0.80 mm). Strains 41 was identified as Streptomyces flavalbus (98.07%) with accession number MZ540332. This is the first report of Streptomyces flavalbus, a novel species from mangrove sediments, and the second one from natural habitat. Other Actinobacterias (6, 10, and 37) strains were identified as Streptomyces albogriseolus (99.79%), Streptomyces labedae (99%), and Streptomyces rochei (93.52%). It is concluded that co-culture is a valuable strategy to develop the new Actinobacteria product as a powerful antibacterial agent.
Adaptive finite-time command filter tracking control of nonlinear system with multiple high-order coupling terms and disturbances
Authors: Zhuang Xinhai , Liu Enyong , Zhang Xinghui , Zhang Ancai , Qiu Jianlong 
Published: July 2022

Abstract
This paper is devoted to the research of adaptive command filter tracking control for a class of uncertain nonlinear systems. The coexistence of multiple high-order coupling terms, unknown coefficients of time-varying function and uncertain external disturbances makes the studied system essentially different from the existing results. By skillfully combining adaptive technology, command filter control and backstepping method, a new type of adaptive command filter tracking control algorithm is designed. This controller not only solves the problem of complex explosion, but also introduces compensation signals to achieve higher precision tracking effect. Ultimately, the validity of the control algorithm is verified by numerical simulation and practical application model simulation experiments.
SB939 is analyzed by STAT3 to inhibit breast cancer cell metastasis-related genes
Authors: ling jun , Wang Baozhen , Qin Chenhui , Chen Jing , Ma Lei , Cai Weiji , Sun Haotong , Li Tao , Xu Fang 
Published: July 2022

Abstract
Background:The histone deacetylase inhibitor (HDACi) Pracinostat (SB939) plays a vital role in inhibiting metastasis of triple-negative breast cancer by downregulating FN1 expression levels through the STAT3 signaling pathway.SB939 has low cytotoxicity and may become a new generation of targeted agents against breast cancer tumors. This study aimed to investigate the association value of STAT3 and FN1 as breast cancer (BRCA) biomarkers and integrated several cancer databases and electronic computer technology to evaluate the effect of SB939 on breast cancer metastasis.Methods:GESA，GEPIA, GENT2,UALCAN, GeneMANIA, STRING,LinkedOmics, and TIMER were utilized in this study.Result:The analysis showed that SB939 inhibited the enrichment of the STAT3 pathway and affected the expression of FN1. Among them, FN1 expression was significantly higher in breast cancer tissues than in normal tissues, and in addition, STAT3 was highly expressed in many tumors. Kaplan-Meier curves showed that increased expression of STAT3 and FN1 correlated with low survival in breast cancer patients with OS, RFS, and DSS, and FN1 had the highest correlation with MMP2. Furthermore, MMP2 shares a pathway with STAT3 to induce metastasis of breast cancer cells.Conclusions: SB939 may be used as a new class of small molecule compounds in the clinic for the treatment of breast cancer.
MXene-derived C-doped TiO2/Ti3C2 heterojunction as a high-performance visible-light photocatalyst
Authors: Chen Kai , Yan Kang , Xie Qun , Zhu Hui , Li Xuanke , Dong Zhijun , Yuan Guanming , Zhang Jiang , Cong Ye 
Published: July 2022

Abstract
Fabrication TiO2 with conductive two-dimensional materials is an effective strategy to improve its photocatalytic activity. Herein, a well-defined carbon doped TiO2/Ti3C2 heterojucntion is constructed via in-situ controllable oxidation of Ti3C2 MXene in carbon dioxide. The formed carbon doped TiO2 nanoparticles as the photocatalyst uniformly disperse on the surface of Ti3C2 MXene and generate electrons and holes under the irradiation. The two-dimensional Ti3C2 MXene, ascribing to its excellent conductivity, acts as the electron transport channels and accelerates the separation of photo-generated electrons and holes. Meanwhile, due to its large specific surface area and good solubility, Ti3C2 MXene may facilitate to enhance the adsorption of pollutant on the photocatalyst as well as the absorption of photocatalyst for visible light. Therefore, the unique properties of TiO2 and Ti3C2 MXene are integrated in a complementary way and significantly improve the photocatalytic performance of the composites. The proper content of Ti3C2 MXene and TiO2 in the composite is crucial for enhancing the photocatalytic performance, which can be effectively tuned by varying the oxidation temperature. In this work, C-TiO2/Ti3C2 oxidized at 400 oC presents the optimum photocatalytic performance.
Fluid shear stress promotes periodontal ligament cells proliferation via p38-Amot-YAP/TAZ.
Authors: Shi Qiusheng , Zheng Lisha , Na Jing , Li Xinyang , Yang Zhijie , Chen Xinyuan , Song Yaxin , Li Chiyu , Zhou Lulin , Fan Yubo 
Published: July 2022

Abstract
Periodontal ligament (PDL) cells are a promising tool for periodontal regeneration therapy. Achieving a sufficient number of PDL cells is essential to PDL regeneration. In our study, appropriate flow shear stress (FSS, 1–6 dyn/cm2) promotes the proliferation of PDL cells. FSS remodels cytoskeleton and focal adhesion in a duration-dependent manner. FSS induces PDL cells to form the actin cap within 10 min, flattens the nuclei, and increases the nuclear pore size, which promotes nuclear translocation of YAP/TAZ. FSS activates p38, which plays a dual function in YAP/TAZ regulation. p38 regulates the phosphorylation of Akt and cofilin, as well as induced F-actin polymerization to induce YAP/TAZ activity. In addition, p38 inhibits pLATS and consecutively regulates angiomotin (AMOT) and YAP/TAZ phosphorylation. AMOT competitively binds to F-actin and YAP/TAZ to participate in FSS-mediated YAP/TAZ nuclear translocation and cell proliferation. Taken collectively, our results provide mechanistic insights into the role of p38-Amot-YAP/TAZ in FSS-mediated PDL cells proliferation and indicate potential applications in dental regenerative medicine.
Gaussian Boson Sampling Compilation
Authors: Alarcon Sonia Lopez , Rueda Federico 
Published: July 2022

Abstract
Gaussian Boson Sampling is gaining relevance among the multiple technologies currently implementing quantum computing. The problem of sampling out of a boson distribution across multiple modes has a strong mathematical connection with combinatorics problems, with multiple practical applications that would classically be unfeasible to solve within reasonable time. The software stack that accompanies this GBS approach, and that takes the application from its high level description to the hardware implementation, is the main focus of this paper. The general compilation process of Gaussian Boson Samplers is described in detail. The specifics of the Strawberry Fields (Xanadu) compilation and simulation framework are discussed, along with its time profiling, and time implications on computationally significant problem sizes. Last, a compilation step to reduce the hardware description complexity is presented, demonstrating a linear reduction on the overall number of operators when the number of Gaussian operators increases.
Anatomical type analysis of right interlobar artery based on chest thin-slice CT scan and three-dimensional reconstruction
Authors: Long-fei WANG , Lei ZHAO , Chang-sheng LV , Qing-tao XV , Rong WANG 
Published: July 2022

Abstract
Purpose To analysize and summarize branching patterns types of the interlobar portion of right pulmonary arteries (RPA) through chest thin-slice CT scan and three-dimensional reconstruction.Methods A total of 179 patients (58 males and 121 females, with an average age of 53.9 years) were retrospectively included from December 2020 to December 2021 in the Thoracic Surgery Department of Ningbo First Hospital. All patients completed preoperative thin-slice CT scan and three-dimensional reconstruction of the chest. The clinical data and branching patterns were collected. Data were analyzed using SPSS 21.0. Results The branching patterns types of the interlobar portion of RPA were divided into 4 types according to the order and number of branches: Type I (145/179, 81.0%), Asc.A2, MA, A6; Type II (28/179, 15.6%) , Asc.A2 deletion, MA, A6; Type III (5/179, 2.8%), Asc.A2, A6, MA; Type IV (1/179, 0.6%), MA, Asc.A2, A6; I type is the most common. Further, according to the number of branches of MA and A6, it can be subdivided into 15 sub-categories.Conclusion Chest thin-slice CT scan and 3D reconstruction can provide surgeons accurate lung anatomy, which helps surgeons make preoperative planning, and complete surgery successfully.
Application of machine learning method in clinical fitting of Ortho-K lens for myopia correction
Authors: Gong Jiaming , Li Kangmei , Hu Jun , Chen Chaoyang , Chen Hao , Cao Qianqian , Wu Ge 
Published: July 2022

Abstract
PurposeAiming at the problem that the complex structure of Ortho-K lens makes the clinical fitting process cumbersome, time-consuming and labor-intensive, a machine learning method was proposed to predict the Alignment Curve (AC) and Target Power (TP) of orthokeratology in vision shaping treatment (VST) to assist in fitting.MethodsThe clinical data of 1235 patients were selected in this study. The AC parameters and TP parameters of the Ortho-K lens worn by the patients were used as target predictors, respectively. A feature engineering study was performed on the input variables to construct the most appropriate feature input dimension and type, and four machine learning algorithms (including Random Forest, Gaussian Process, Support Vector Machine, and Linear Regression) were used to predict AC and TP, respectively. Then optimize the hyper-parameters of the machine learning model to achieve the best predictive performance of the machine learning model.ResultsGaussian Process and Random Forest performed best in predicting AC and TP, with R2 of 0.84 and 0.88, respectively. During the testing process of the test set, the prediction results of the best machine learning model showed a high degree of consistency with the traditional clinical diagnosis results.ConclusionThe machine learning predictive diagnosis method proposed in this study is significantly more efficient than other auxiliary diagnosis methods. The predictive ability of the machine learning model reduces the number of times the patient needs to replace the test piece, which greatly improves the success rate and diagnostic efficiency of the test piece.