bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of the first commercial dual resistance assay, AmpliSens Mycoplasma genitalium-ML/FQ-Resist-FL, for detection of potential macrolide and quinolone resistance-associated mutations and prevalence of M. genitalium resistance mutations in St. Petersburg, Russia
Authors: Shipitsyna Elena , Khusnutdinova Tatiana , Budilovskaya Olga , Shedko Elizaveta , Goloveshkina Elena , Khayrullina Guzel , Krysanova Anna , Shalepo Kira , Savicheva Alevtina , Unemo Magnus
Published: June 2022

Objectives

Antimicrobial resistance in Mycoplasma genitalium (MG) is a poorly surveyed and controlled global health concern. We evaluated the first commercial dual resistance assay, AmpliSens M. genitalium-ML/FQ-Resist-FL assay, for detection of potential macrolide and quinolone resistance-associated mutations (MRAMs and QRAMs, respectively) and estimated the prevalence of these mutations in MG in St. Petersburg, Russia.

Methods

Urogenital samples positive (n=145 from 2007 to 2020) and negative (n=56 from 2021) for MG in routine diagnostics were retrospectively analysed using the AmpliSens M. genitalium-ML/FQ-Resist-FL assay (Central Research Institute of Epidemiology, Moscow, Russia) and Sanger sequencing for validation.

Results

The AmpliSens M. genitalium-ML/FQ-Resist-FL assay detected potential MRAMs and QRAMs with sensitivities of 100% (CI95% 83.9 to 100) and 92.3% (CI95% 66.7 to 99.6) and specificities of 99.2% (CI95% 95.6 to 100) and 100% (CI95% 97.2 to 100), respectively, in clinical specimens with ≥1000 MG geq/mL. In total, MRAMs were detected in 13.8% (CI95% 9.1 to 20.3) of samples, with 23S rRNA A2058G being the most prevalent mutation (45.0% (CI95% 25.8 to 65.8)). QRAMs were found in 9.0% (CI95% 5.3 to 14.7) of samples, with S83I the most frequent mutation (53.8% (CI95% 29.1 to 76.8)). Dual resistance was observed in 5.5% (CI95% 2.8 to 10.5) of samples. Potential MRAM and dual resistance rates significantly increased over time: from 0% in 2007–2008 to 25% (ptrend=0.0009) and 10% (ptrend=0.0447), respectively, in 2018–2020. QRAM rate appeared to increase (from 0% to 13%), but significance was not reached (ptrend=0.0605).

Conclusions

The rapid increase in MG antimicrobial resistance in St. Petersburg, especially prominent for MRAMs, necessitates implementation of macrolide resistance-guided therapy in Russia. The first commercial dual resistance assay, AmpliSens M. genitalium-ML/FQ-Resist-FL assay, was sensitive and specific for detection of potential MRAMs and QRAMs and could be valuable in macrolide resistance-guided therapies and possibly for surveillance of QRAMs. International surveillance of antimicrobial resistance-associated mutations in MG, further research into clinical relevance of several parC mutations and novel treatments are essential.
Tobacco retailers around schools in 10 cities across China
Authors: Nian Qinghua , Cohen Joanna E , Cui Yuxian , Zhang Shuai
Published: June 2022

Objective

This study explored the nature and extent of tobacco product availability at retailers near junior, senior and vocational high schools in rural and urban areas in 10 cities across China, including Shanghai, Beijing, Guangzhou, Chongqing, Shenyang, Jinan, Kunming, Guilin, Kaifeng and Baiyin.

Methods

Tobacco sales at 1612 retailers around 904 schools (within 100 m for urban schools and within 250 m for rural schools) were observed by trained data collectors with an online observation form in 2021. Multistage sampling with simple random sampling at each stage was used to select schools from the city district-level/rural county-level divisions. χ2tests and analyses of variance were used to analyse the data.

Findings

Over half of urban schools (57.0%) and a large majority of rural schools (71.0%) had a cigarette retailer within a 100 m and a 250 m radius, respectively. Nearly all cigarette and electronic cigarette (e-cigarette) retailers displayed tobacco products inside. Majority of cigarette retailers (63.2%) sold flavoured cigarettes, of which 88.6% sold menthol/mint-flavoured cigarettes. Approximately half of these retailers did not display required signage prohibiting sales to minors. Overall, outcomes varied across cities and between urban and rural areas, but not by school type.

Conclusion

Display of tobacco products is very prevalent near schools in 10 cities across China. In contrast, compliance with posting ‘no sales to minors’ signs is low. Our findings suggest that effective enforcement of prohibiting tobacco retailers around schools and stronger restrictions on tobacco displays and flavoured cigarettes and e-cigarettes are needed to protect youth in China.
4-Manifold topology, Donaldson–Witten theory, Floer homology and higher gauge theory methods in the BV-BFV formalism
Authors: Moshayedi Nima
Published: June 2022

We study the behavior of Donaldson’s invariants of 4-manifolds based on the moduli space of anti-self-dual connections (instantons) in the perturbative field theory setting where the underlying source manifold has boundary. It is well-known that these invariants take values in the instanton Floer homology groups of the boundary 3-manifold. Gluing formulae for these constructions lead to a functorial topological field theory description according to a system of axioms developed by Atiyah, which can be also regarded in the setting of perturbative quantum field theory, as it was shown by Witten, using a version of supersymmetric Yang–Mills theory, known today as Donaldson–Witten theory. One can actually formulate an AKSZ model which recovers this theory for a certain gauge-fixing. We consider these constructions in a perturbative quantum gauge formalism for manifolds with boundary that is compatible with cutting and gluing, called the BV-BFV formalism, which was recently developed by Cattaneo, Mnev and Reshetikhin. We prove that this theory satisfies a modified Quantum Master Equation and extend the result to a global picture when perturbing around constant background fields. These methods are expected to extend to higher codimensions and thus might help getting a better understanding for fully extendable [Formula: see text]-dimensional field theories (in the sense of Baez–Dolan and Lurie) in the perturbative setting, especially when [Formula: see text]. Additionally, we relate these constructions to Nekrasov’s partition function by treating an equivariant version of Donaldson–Witten theory in the BV formalism. Moreover, we discuss the extension, as well as the relation, to higher gauge theory and enumerative geometry methods, such as Gromov–Witten and Donaldson–Thomas theory and recall their correspondence conjecture for general Calabi–Yau 3-folds. In particular, we discuss the corresponding (relative) partition functions, defined as the generating function for the given invariants, and gluing phenomena.
Dual Channel Multiplier for First-Order Piecewise Approximation for GPU
Authors: Ellaithy Dina M.
Published: June 2022

This paper demonstrates an energy-efficient implementation of piecewise polynomial approximation to evaluate the complex functions of graphical processing units (GPUs). A novel approach is employed to implement the first-order piecewise approximation serially which leads to high savings in power and area. Dual channel multiplier (DCM) scheme is proposed to simplify the hardware architecture of the piecewise polynomial approximation. The proposed methodology is implemented with 90[Formula: see text]nm CMOS technology and it can perform different complex functions using a simple multiplier hardware structure. DCM achieves improvement in energy saving by up to 81% at a penalty cost of 10 clock cycles. Simulation results confirm that this work attains at least 83%, and 55% saving in power and area as compared to the traditional techniques, respectively. The proposed methodology can implement any degree of the piecewise polynomial approximation utilizing the DCM.
An Adaptive Regulatory Approach to Improve the Power Quality in Solar PV-Integrated Low-Voltage Utility Grid
Authors: Kumar Ch. Phani , Elanchezhian E. B. , Pragaspathy S.
Published: June 2022

Solar PV-connected distributed utility grid often faces several issues due to variable penetration of the generated power. It creates frequent disturbance in load side and increases the voltage instability. It is a great challenge to maintain the stability at distributed low-voltage grid and improve the quality of power. In order to overcome this problem, this paper proposes an adaptive voltage and current regulatory approach to improve the power quality in a solar PV-integrated low-voltage utility grid. It supplies auto-adjustable reactive power during the small and large voltage deviations in the grid. The proposed approach assures that the load bus voltage is maintained at 1 p.u. under variable environmental conditions. In addition, the power quality gets improved by injecting the power with improved quality. Three cases of standalone mode, grid-connected modes with and without STATCOM have been investigated and reported in this paper. To validate the proposed adaptive voltage and current regulatory approach, the dynamic results of regulated grid voltage under poor environmental conditions are analyzed and the measured results are presented in this paper. Furthermore, the obtained results are evaluated with the existing approaches such as BAT, firefly and elephant herding optimization (EHO) algorithms and reported in this paper.
Twist moves and the affine index polynomials of virtual knots
Authors: Jeong Myeong-Ju , Choi Younhee , Kim Dojin
Published: June 2022

In this paper, we give a necessary condition for two virtual knots to be related by a finite sequence of twist moves by using the affine index polynomial, which is a Vassiliev invariant of degree [Formula: see text]. Trapp showed that a numerical Vassiliev invariant of degree [Formula: see text] has a polynomial growth of degree [Formula: see text] on a twist sequence of knots, which can be extended to a twist sequence of virtual knots.

We calculate the growth of the affine index polynomial for a twist sequence of virtual knots and find the difference of the affine index polynomials of two virtual knots, which are related by a twist move. Moreover, we give a lower bound for the number of twist moves needed to transform [Formula: see text] to [Formula: see text] if [Formula: see text] and [Formula: see text] are virtual knots related by a finite sequence of twist moves.
A note on the involutive invariants of certain pretzel knots
Authors: Hendricks Kristen , Issac Matthew , McConnell Nicholas
Published: June 2022

We compute the involutive knot invariants for pretzel knots of the form P(−2,m,n) for m and n odd and greater than or equal to 3.
A new class of charged spherically symmetric and static superdense star configurations
Authors: Kaur Simranjeet , Shukla Sacheendra
Published: June 2022

In this paper, we have obtained a new family of interior solutions of the Einstein–Maxwell field equations in general relativity for static, spherically symmetric distribution of charged fluid. The electric density is assumed to be [Formula: see text] where [Formula: see text] is a positive constant. The solution is well behaved for a wide range of [Formula: see text] hence, it is suitable for modeling a superdense star. The surface density is assumed to be [Formula: see text], for the validation of the solution set present, a comparison has also been made with the stars EXO 1785-248, SMC X-1, Her X-1, 4U 1538-52. For these particular stars, the maximum value of surface redshift is obtained to be 0.3251 for the star EXO 1785-248 and the minimum value is obtained as 0.2027 for the star Her X-1. We subject our solution to rigorous physical viability tests. In the absence of charge, we obtain the regular and well-behaved sixth model of Durgapal.
Studies on growth and characterization of a nonlinear optical crystal: Zinc sulfate-doped L-alanine
Authors: Thangavel S. , Kathiravan V. , Ashok Kumar R. , Eniya S. , Satheesh Kumar G. , Selvarajan P. , Kumaresavanji M.
Published: June 2022

Single crystals of zinc sulfate doped L-alanine (LAZ) were grown by adopting the slow evaporation technique at room temperature. The crystal structure of LAZ was determined using single-crystal X-ray diffraction. The functional groups of LAZ were identified by FT-IR spectroscopy analysis. UV–Visible–NIR transmittance study was carried out, and the bandgap energy was found. A fluorescence study was performed to get the emission spectrum of the LAZ crystal. The Vickers microhardness test is used to determine the LAZ crystals mechanical behavior. Thermogravimetric and differential thermal analyses have also been studied to investigate the thermal property of the LAZ crystal. The efficiency of the title crystal’s second harmonic generation (SHG) was investigated. The electrical properties were estimated by impedance study.
OPTIMIZATION OF CRANIAL BONE MILLING PARAMETERS’ IN CRANIOTOMY: A MILLING FORCE MODEL AND ITS EXPERIMENTAL VALIDATION
Authors: ZHENG QINGCHUN , LIN YIZE , CHEN XIANNIAN , HE LINGRUI , ZHANG CHUNQIU , HU YAHUI , FU WEIHUA
Published: June 2022

Cranial bone milling in craniotomy is a hazardous surgical operation since excessive milling force can cause bone cracking and tool fracture. The mechanism of cranial milling is modeled and experimentally verified in this study for porcine femur samples simulating human cortical bones, which are processed by a spiral (helical) end milling cutter. The latter’s cutting edge is subdivided into numerous cutting microelements. The total cutting force is calculated by adding the cutting forces acting on each element using the specific cutting energy method. The theoretical model linking the milling force with milling parameters (spindle speed and feed rate) and bone thickness is presented. Since the axial milling depth in craniotomy is equal to the skull thickness, the effect of milling parameters on milling force is reduced to fixed bone thickness conditions. A high-precision milling test platform is developed and applied to porcine femur milling to verify the proposed model’s feasibility. The effect of milling parameters on milling force is experimentally studied and found to be consistent with the proposed theoretical model. The spindle speed and feed rate have a significant effect on the milling force. The effect of feed rate on bone crack is greater than that of spindle speed. The milling mechanism analysis by the proposed model allows one to optimize the milling parameters (spindle speed and feed rate) for craniotomy with different cranial bone thicknesses.
CFD MODELS FOR ANEURYSM ANALYSES AND THEIR USE IN IDENTIFYING THROMBOSIS FORMATION AND RISK ASSESSMENT
Authors: PAHLAVANI H. , OZDEMIR I. B. , YILDIRIM D.
Published: June 2022

In this paper, the blood transport has been investigated using the single- and the two-phase methods. In the two-phase Euler–Euler approach, the blood is represented by two interpenetrating continua where the dispersed red blood cells (RBCs) of non-Newtonian characteristics are suspended in the continuous Newtonian plasma. The results of the two-phase model, where the RBC’s phase is assumed to be Carreau–Yasuda fluid, are validated against the experimental data. Furthermore, comparative analyses were performed in two patient-specific aneurysms, which indicated that for a given pulsatile flow rate, the two-phase blood approach is vitally advantageous over the single-phase assumption, and revealed a deeper inflow penetration, more complex flow structures and denser flow diversion zones in the aneurysm sac. It was obvious that the high OSI values calculated by the two-phase model covered much wider regions than the values predicted by the single-phase model. It was equally crucial that these regions coincided with the TAWSS values lower than the threshold that the single-phase approach can predict. Apparently, the single-phase model failed to spot sites of high rupture risk. The results were further exploited to identify the RBCs aggregation regions as, for example, the concave structures and narrow paths in the saccular aneurysms, for their possible use as the precursors of the thrombus formation.
Asset Management in Machine Learning: State-of-research and State-of-practice
Authors: Idowu Samuel , Strüber Daniel , Berger Thorsten
Published: June 2022

Machine learning components are essential for today’s software systems, causing a need to adapt traditional software engineering practices when developing machine-learning-based systems. This need is pronounced due to many development-related challenges of machine learning components such as asset, experiment, and dependency management. Recently, many asset management tools addressing these challenges have become available. It is essential to understand the support such tools offer to facilitate research and practice on building new management tools with native supports for machine learning and software engineering assets.

This article positions machine learning asset management as a discipline that provides improved methods and tools for performing operations on machine learning assets. We present a feature-based survey of 18 state-of-practice and 12 state-of-research tools supporting machine-learning asset management. We overview their features for managing the types of assets used in machine learning experiments. Most state-of-research tools focus on tracking, exploring, and retrieving assets to address development concerns such as reproducibility, while the state-of-practice tools also offer collaboration and workflow-execution-related operations. In addition, assets are primarily tracked intrusively from the source code through APIs and managed via web dashboards or command-line interfaces (CLIs). We identify asynchronous collaboration and asset reusability as directions for new tools and techniques.
Stance Detection with a Multi-Target Adversarial Attention Network
Authors: Sun Qingying , Xi Xuefeng , Sun Jiajun , Wang Zhongqing , Xu Huiyan
Published: June 2022

Stance detection aims to assign a stance label (in favor or against) to a post towards a specific target. In the literature, there are many studies focusing on this topic, and most of them treat stance detection as a supervised learning task. Therefore, a new classifier needs to be built from scratch on a well-prepared set of ground-truth data whenever predictions are needed for an unseen target. However, it is difficult to annotate the stance of a post, since a stance is a subjective attitude towards a target. Hence, it is necessary to learn the information from unlabeled data or other target data to help stance detection with a certain target. In this study, we propose a multi-target stance detection framework to integrate multi-target data together for stance detection. Since topic and sentiment are two important factors to identify the stance of a post in multi-target data, we propose an adversarial attention network to integrate multi-target data by detecting and connecting topic and sentiment information. In particular, the adversarial network is utilized to determine the topic and the sentiment of each post to collect some target-invariant information for stance detection. In addition, the attention mechanism is utilized to connect posts with a similar topic or sentiment to acquire some key information for stance detection. The experimental results not only demonstrate the effectiveness of the proposed model, but also indicate the importance of the topic and the sentiment information for stance detection using multi-target data.
Thermo-Mechano-Electrochemical Analysis in Cylindrical Electrode Particles of Lithium-Ion Battery
Authors: Li Jiaying , Liu Yulan , Wang B.
Published: June 2022

A thermo-mechano-electrochemical model is proposed in this paper to study the coupled effect on diffusion induced stresses (DISs) in cylindrical electrode particles. The traditional heating model, Bernardi’s model, is modified to be practical in particle dimension. And the finite deformation theory as well as stress-induced diffusion hypothesis are also adopted to establish equations of the whole coupled system. By means of numerical simulation, the result of incipient thermal behavior shows significant dependence on both initial concentration of lithium-ion in the particle and capacity of heat interchange at particle surface. The DISs influenced by thermal behavior display amplification that is small (about 2% in 3C condition) but tend to increase with higher charging and discharging rate. Moreover, when temperature increase reaches 220 K, the result of DISs in the adiabatic model demonstrates prominent amplification which exceeds 12%. Therefore, thermal behavior is supposed to be taken into consideration when dealing with a quick-charging problem.
Effects of Carbonate Solvents and Lithium Salts in High-Concentration Electrolytes on Lithium Anode
Authors: Peng Yueying , Nishikawa Kei , Kanamura Kiyoshi
Published: June 2022

Lithium (Li) metal is considered an ideal anode material for Li-ion batteries. However, traditional carbonate-based solvents exhibit poor compatibility with the Li anode. High-concentration electrolytes (HCEs) are promising in the improvement of the behavior of the Li anode. To determine suitable HCE formulations, we revealed the effects of various carbonate solvents and Li salts in HCEs on the Li anode in terms of electrochemical performance, morphology, and surface chemical components. After screening six carbonates and four Li salts, the results suggested that ethylene carbonate (EC) and lithium bis(fluorosulfonyl)imide (LiFSI) were suitable in HCEs for the Li anode. The EC1–2 (molar ratio of LiFSI to EC is 1:2) electrolyte exhibited great cycling stability for up to 250 cycles at a high average Coulombic efficiency of 97.1% at a current density of 1 mA cm−1 with a fixed capacity of 0.5 mAh cm−2. This was demonstrated as the formation of large Li with uniform nodule-like morphology and dense structure. In addition, the surface components on the Li anode were observed to have been highly contributed by the FSI-anion decomposition with the least EC reduction, providing an anion-derived surface with rich Li-F content.
PVP-Assisted Iron-Doped ZIF-8 as an Efficient Fe-N-C Oxygen Reduction Electrocatalyst for Zinc-Air Batteries
Authors: Wang Ruixiang , Wang Yanyang , Chen Zheqin , Zhong XiaoCong , Xie Yongmin , Ji Xiaobo , Liu Jiaming , Xia Shubiao , Xu Zhifeng
Published: June 2022

Transition metal/nitrogen carbon composite (M/NC) is a highly active oxygen reduction reaction (ORR) electrocatalyst, widely used in fuel cells and zinc-air batteries. Herein, a uniform and regular PVP-assisted iron-doped nano dodecahedron (ZP0.1F/NC) is prepared by a simple and efficient one-step in-solution reaction, followed by controlled in situ pyrolysis. The synthesized electrocatalyst showed excellent electrocatalytic ORR activity in an alkaline medium. Compared with standard 20% Pt/C electrocatalyst, ZP0.1F/NC exhibited onset potential (Eonset) (0.974 V vs 0.967 V), half-wave potential (E1/2) (0.861 V vs 0.857 V) and the limiting current density (jd) was 6.373 mA cm−2 vs 5.401 mA cm−2, also better than the Fe doped ZIF-8 nitrogen composite (ZF/NC), PVP auxiliary ZIF-8 (ZP0.1/NC) and pure ZIF-8 nitrogen composite (Z/NC) synthesized by the same procedure. In addition, the zinc-air battery assembled with ZP0.1F/NC also exhibits outstanding discharge capacity, with a specific capacity and energy density of 793.3 mAh g−1 and 974.9 Wh

kg

Zn

−
1

,

respectively, much higher than that of commercial 20% Pt/C-based zinc-air battery (719.8 mAh g−1, 842.6 Wh

kg

Zn

−
1

), indicating its great potential in practical energy conversion and storage.
Analysis of the Effect of Video-Guided Dance Creation for Young Children
Authors: Qin Yanan , Huang Tao , Tang Guanzhen
Published: June 2022

Children’s dance is an important part of quality education for children, and it is also an important channel for children’s physical and mental development. Traditional children’s dance education adheres to the teaching method taught by teachers, and teachers insist on teaching progress. In order to improve the level and quality of children’s dance creation, this paper analyzes the effect of children’s dance creation under video guidance and discusses the integration strategies in children’s dance creation. Children’s dance education in the video teaching environment advocates the combination of online and offline teaching characteristics, and it is necessary to pay attention to the subjective initiative of students. At the same time, how to effectively use video teaching to improve aesthetic ability, effectively summarize online and offline resources to enhance educational efficiency, and make arrangements to strengthen the network. The quality of video-guided dance teaching is an era subject for the development of video-guided learning. Children’s dance education in the video teaching environment needs to focus on the development of teaching forms and the transformation of teaching thinking ability and guide students to strengthen their aesthetic ability in practical activities and teaching methods.
Emotional Stress Relief Mechanism of English Translation Practitioners Based on Role Cognition
Authors: Hu Wei , Luo Yipeng
Published: June 2022

The emotional stress of English translation practitioners is an important research content of psychological organization counseling behavior. Based on the theory of role cognition, this paper adopts the perspective of emotional stress experience, integrates the construction theory and the self-determination theory, and builds an emotional stress relief mechanism for English translation practitioners. On the basis of sorting out psychological capital, emotional commitment, and behavioral variables of organizational practitioners, the article summarizes the concept, dimension, measurement, and causes and effects of variables and solves the problem of quantitative analysis of emotional stress. In the simulation process, the role cognitive variables and local cognitive variables are extracted separately using the dual-branch mitigation mechanism structure to enhance the diversity of the extracted cognitive variables; in the local branch, a loss function of emotional stress overlapping partial penalty mechanism is constructed. This mechanism is used to select a suitable destination sink node for the sensor nodes around the sink node with heavy load to transmit data and effectively relieve the data collection pressure of the original sink node. The experimental results show that by using role cognitive variables and local cognitive variables in the training of classification loss and triple loss, respectively, the mitigation mechanism can mine subtle and significant cognitive variables from the local area and finally integrate role cognitive cognition. The accuracy rate of obtaining 297 questionnaires reached 91.4%, which effectively promoted the mechanism research of emotional stress on the behavior of English translation practitioners.
Evaluation Method of Financial Internal Control in Colleges and Universities Based on Artificial Intelligence Technology
Authors: Guo Shifu
Published: June 2022

The internal financial control of colleges and universities is the main tool to restrain the behavior of financial managers. With the improvement of the economic operation efficiency of colleges and universities, the application effect of internal control management system is poor. Therefore, the evaluation method of the university financial internal control based on artificial intelligence technology is proposed. First put forward the artificial intelligence technology in the application of financial internal control in colleges and universities, and then construct the financial internal organizational structure, on this basis, to meet the enormous workload processing requirements, the creation of financial internal control evaluation in colleges and universities, the chain at the same time use of financial system of general function, the university financial internal control evaluation data output to the financial system. The data acquisition program is used to obtain the relevant data in the evaluation report so as to realize the evaluation of internal financial control in colleges and universities under the artificial intelligence technology. The experimental results show that the evaluation acceleration is faster with the increase of the evaluation time of the key elements. The evaluation effect is the best; the closest to the ideal value of 0.01, and the error detection rate curve is relatively stable, with good effect.
Minimum Shareholding Proportion of Equity Funds and Stock Volatility Evidence from a Quasi-Natural Experiment
Authors: Wang Tian , Zhu Xintong
Published: June 2022

China’s fund market is getting bigger and bigger. By September 2021, the number of funds in the market had exceeded 8000, with a net value of nearly 24 trillion yuan. Among them, the number of equity funds has doubled compared with 2015, and the net value has increased four times compared with 2015, and it still maintains a rapid growth momentum. Do mutual funds play a role in market stabilization? To demonstrate this issue, we combined the passive trading technique with the positive and negative feedback trading strategies and explained how the minimum position ratio of equity funds affects stock price volatility. Then, using empirical data, we apply the difference-in-differences model to analyze how shifting proportions of the equity funds’ lowest shareholding affects stock volatility. The result shows that the volatility of high-institutional stocks was significantly reduced in comparison with other stocks after 2014. This result is further confirmed in the stocks held by large-scale funds. We used PSM-DID to solve potential endogenous problems and found that the results still support the hypothesis. This evidence supports the point of statement that the equity funds in the Chinese capital market can stabilize the market especially after 2014.
[Retracted] Affective Antidepressant, Cytotoxic Activities, and Characterization of Phyto‐Assisted Zinc Oxide Nanoparticles Synthesized Using Sanvitalia procumbens Aqueous Extract
Authors: Rashid Yasir , Fozia  , Ahmad Ijaz , Ahmad Nisar , Aslam Madeeha , Alotaibi Amal
Published: June 2022

Green synthesis of nanoparticles has emerged as an effective and environmentally friendly method. Therefore, the current investigation is based on the green synthesis of zinc oxide nanoparticles (ZnO‐NPs) using plant extract of Sanvitalia procumbens (S. procumbens) that act as a capping and reducing agent. S. procumbens is a fast‐growing shrub and densely available plant and may have potential to synthesize ZnO‐NPs. The synthesized ZnO‐NPs were characterized by different techniques, including Fourier transform infrared spectroscopy (FT‐IR), UV‐visible (UV‐Vis), energy‐dispersive X‐ray (EDX), X‐ray diffraction (XRD), and scanning electron microscopy (SEM). The UV‐Vis spectrum at 350 nm revealed an absorption peak for the synthesis of ZnO‐NPs. In addition, photoactive biomolecules of the prepared ZnO‐NPs were identified by using FT‐IR spectroscopy. Furthermore, the spherical geometry of ZnO‐NPs was evaluated by SEM images. The synthesized ZnO‐NPs were also used to enhance the antidepressant activity and exhibited a remarkable reduction in the time of immobility in tail suspension tests (TST) and forced swim tests (FST), as well as increased the BDNF levels in the brain and plasma. ZnO‐NPs have a low risk of biocompatibility (cell visibility) at a concentration of 7 g/mL or below. The nanoparticles were biologically compatible when the concentrations were increased up to 11 μg/mL. It was concluded that ZnO‐NPs were investigated as a possible carrier for antidepressant drug delivery into the brain, and their excellent cytotoxic activity was evaluated by using the MTT assay to determine their biocompatibility.
Anti-Methicillin-Resistant Staphylococcus aureus Activities of Artocarpus lakoocha Roxb Extract and Its Mode of Action
Authors: Charirak Punyisa , Ratananikom Khakhanang
Published: June 2022

Antibacterial activities and mode of action of Artocarpus lakoocha Roxb extracts against methicillin-resistant Staphylococcus aureus (MRSA) were evaluated, with its biological properties including antioxidant activity and total phenolic content also measured. Heartwoods of A. lakoocha Roxb were extracted by solvents including water, ethanol, acetonitrile, ethyl acetate, isopropanol, and hexane. Results showed that antibacterial activity against MRSA, antioxidant activity, and total phenolic content were highest in the acetonitrile extract. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were 312.5 and 625.0 μg/mL, respectively. Time-killing evaluation indicated a bactericidal mode of action with IC50 values against ABTS and DPPH radicals of 2.37 ± 0.09 and 32.10 ± 0.74 mg/mL, respectively, and total phenolic content 455.29 ± 18.35 mg GAE/g extract. Results suggested that acetonitrile extract of A. lakoocha Roxb had good potential activity against MRSA, with promise for further development as a novel alternative drug.
Effect of Integrated Psychobehavioral Care on Emotional-Behavioral Responses, Cognitive Changes in Outpatients with Schizophrenia Followed Up: Based on a Prospective Randomized Controlled Study
Authors: Yao Yao , Xu Yali , Guo Hongyan , Han Kunxiu , Dai Zhuo
Published: June 2022

Background. In recent years, influenced by the continuous improvement and development of the medical service model and the increasing demands of modern people for the quality of clinical care, the clinical treatment of schizophrenic groups has also received widespread attention and importance from all sectors of society. Psychobehavioral care is administered to patients during active antipsychotic treatment, which can maximize the patient’s cooperation with clinical work and thus play an auxiliary role in treatment. Aims. To investigate the impact of emotional-behavioral responses, cognitive changes in outpatient follow-up of schizophrenic patients with integrated psychobehavioral care. Materials and Methods. One hundred cases of schizophrenia patients with outpatient follow-up in our hospital from March 2017 to March 2019 were selected as prospective study subjects and divided into a comparison group and an observation group of 50 cases each according to a random number table. Among them, the comparison group implemented conventional psychobehavioral care, and the observation group implemented integrated psychobehavioral care. The differences in compliance behavior, negative emotions, cognitive behavioral changes, and pain scores before and after care of schizophrenia patients in the outpatient follow-up were compared between the two groups. Results. After care, the compliance behavior, negative emotions, cognitive behavioral changes, and pain scores of schizophrenia patients in both groups with outpatient follow-up were significantly improved and significantly higher in the observation group than in the comparison group, and statistics showed that this difference was statistically significant (

P
<
0.05

).Conclusion. Integrated psychobehavioral care combined with conventional psychobehavioral care can effectively enhance the compliance behavior of outpatient follow-up schizophrenia patients, improve the negative emotions and pain of patients, and facilitate the active treatment of patients to improve their prognosis. It has some reference value for outpatient follow-up schizophrenia patient care.
Cephalometric Analysis in Orthodontics Using Artificial Intelligence—A Comprehensive Review
Authors: Subramanian Aravind Kumar , Chen Yong , Almalki Abdullah , Sivamurthy Gautham , Kafle Dashrath
Published: June 2022

Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic dispensation, machine learning, and planning. In the area of medicine and dentistry, machine learning is currently the most widely used AI application. This narrative review is aimed at giving an outline of cephalometric analysis in orthodontics using AI. Latest algorithms are developing rapidly, and computational resources are increasing, resulting in increased efficiency, accuracy, and reliability. Current techniques for completely automatic identification of cephalometric landmarks have considerably improved efficiency and growth prospects for their regular use. The primary considerations for effective orthodontic treatment are an accurate diagnosis, exceptional treatment planning, and good prognosis estimation. The main objective of the AI technique is to make dentists’ work more precise and accurate. AI is increasingly being used in the area of orthodontic treatment. It has been evidenced to be a time‐saving and reliable tool in many ways. AI is a promising tool for facilitating cephalometric tracing in routine clinical practice and analyzing large databases for research purposes.
Exploration of Joint Optimization and Visualization of Inventory Transportation in Agricultural Logistics Based on Ant Colony Algorithm
Authors: Dong Bo , Duan Manzhen , Li Yinfeng
Published: June 2022

The problem of joint optimization of inventory and transportation in agricultural logistics and distribution is a typical logistics problem, but agricultural logistics and distribution also have their own characteristics, such as uneven distribution of outlets, complex road conditions, very many outlets, a single order with few goods but high frequency of ordering, centralized distribution, and unified channels. To promote the sustainable development of the economy, it is necessary to save energy and reduce emissions, and eventually enter a new era of “low consumption, low pollution, and low emissions.” Modern logistics vehicle-scheduling process is complex and changeable, and the existing mathematical methods are not perfect in solving this problem, lacking scientific theory as a guide. The joint optimization problem introduces the inventory change factor on the basis of periodic vehicle path optimization and optimizes the inventory decision and path planning in an integrated manner. As a system to support the logistics industry, the visualized logistics information system is capable of video viewing and querying logistics information. In order to reduce gas emissions and save costs, it is necessary to optimize the transportation link, and the focus of optimization is the route optimization of distribution vehicles. Ant colony algorithm (ACA) is an emerging search and optimization technique, which emerged from the research of ACA. In this study, we study the joint optimization and visualization of inventory transportation in agricultural logistics based on ACA. In addition, the experimental results show that the inventory cost/total cost of improved ACA is 0.006 when the unit mileage transportation cost is 10, and the IBM ILOG CPLEX is 0.031, which is reduced by 0.0025, that is to say, in the case of high inventory cost per unit product, the use of improved ACA can lead to a significant reduction in inventory costs. Therefore, it can realize the whole process of control, traceability, and dynamic optimization to ensure the timeliness of emergency finished food security and provide real-time information for decision-making in command as well.
Categories and Application Fields and Manufacturing Process and Action Mechanism of Water Retaining Agent
Authors: Yang Min , Shi Yan
Published: June 2022

Water retaining agent (WRA) is a kind of functional polymer material with strong water absorption capacity. It can absorb and release water repeatedly and is often used for crop growth in water shortage areas. It is of great significance to the development of water-saving agriculture. There are many kinds of water retaining agents, and with the development of science and technology, the raw materials for making water retaining agents tend to be diversified. And they are more and more widely used in many fields closely related to our life, such as industry, food production, medical treatment, and greening, and the manufacturing process is more and more mature. In addition, the water absorption capacity of water retaining agent is not only related to its own components but also related to the external environment. The water absorption mechanism and the factors affecting water absorption capacity of water retaining agent were explored as follows.
SLC7A11/GPX4 Inactivation-Mediated Ferroptosis Contributes to the Pathogenesis of Triptolide-Induced Cardiotoxicity
Authors: Liu Xian , Chen Cheng , Han Dong , Zhou Wei , Cui Yaowen , Tang Xianglin , Xiao Chengrong , Wang Yuguang , Gao Yue
Published: June 2022

Triptolide exhibits promising efficacy in various cancers and immune diseases while its clinical application has been strongly restricted by its severe side effects, especially cardiotoxicity. However, the underlying mechanism of triptolide-induced cardiotoxicity (TIC) remains unclear. The RNA-seq analysis of triptolide-injured AC16 human cardiomyocyte cell line hinted that ferroptosis is involved in TIC. Further experimental validations proved that triptolide triggered ferroptosis, as evidenced by significant accumulation of lipid peroxidation (4-HNE and MDA levels) and ferrous iron, as well as depletion of intracellular GSH. Furthermore, triptolide-induced iron overload involved the upregulation of TF/TRFC/DMT1 signal axis and the degradation of ferritin, which contribute to ROS generation via Fenton reaction. In addition, inhibition of the antioxidant Nrf2/HO-1 pathway was observed in TIC, which may also lead to the overproduction of lethal lipid peroxides. Mechanistically, using streptavidin–biotin affinity pull-down assay and computational molecular docking, we unveiled that triptolide directly binds to SLC7A11 to inactivate SLC7A11/GPX4 signal axis. More importantly, employment of a ferroptosis inhibitor Ferrostatin-1 alleviated TIC by partially reversing the inhibitory effects of triptolide on SLC7A11/GPX4 signal. Altogether, our study demonstrated that SLC7A11/GPX4 inactivation-mediated ferroptosis contributed to the pathogenesis of TIC. Combating ferroptosis may be a promising therapeutic avenue to prevent TIC.
Application of Ultrasonic Intelligent Imaging in L-Selectin Regulating Embryo Implantation in Mongolian Sheep Endometrium
Authors: Wang Changshou , Bao Adong , Hai Qing , Hu Zhengxiang , Bai Xiaoying
Published: June 2022

In order to explore the practical application of ultrasonic imaging in the pregnancy stage of Mongolian sheep and the role of L-selectin in the embryo implantation process of Mongolian sheep, this paper systematically observed the early embryonic development by B-mode ultrasonic imaging wave diagnostic instrument with 5 MHz rectal probe and detected the expression of sLex and L-selectin in embryonic cells (jar cells) and endometrial cells (RL95-2 cells) by immunoassay to show the role of L-selectin in embryonic adhesion. The results were as follows: the correct rate of fetal sex determination by ultrasound imaging increased with the increase of pregnancy days and reached 93% at 84 days; sLex/L-selectin on the surface of Jar/RL95-2 cells is involved in the adhesion between embryo and endometrium; and when the concentration of L-selectin was 30 μg/ml, the implantation success rate of fertilized eggs and embryos was the highest, reaching 95%. It is proved that ultrasonic intelligent imaging exploration can summarize the imaging characteristics of the early development law of sheep fetus, which provides a basis for B-ultrasound to monitor fetal growth and predict fetal age. While discussing the molecular mechanism of implantation, it provides a new idea and means for the clinical intervention of contraception and pregnancy assistance with oligosaccharide as the target.
Analysis of Carbon Contents and Heavy Metals in Coal Samples Using Calibration-free LIBS Technique
Authors: Israr Muhammad Aamir , Abbas Qamar , Haq Sami Ul , Nadeem Ali
Published: June 2022

We report a compositional analysis of four coal samples collected from different mines in Pakistan and one Chinese brand. The coal samples were pelletized in the form of a disc and irradiated with a focused laser beam of fundamental (1064 nm) and second (532 nm) harmonics of Nd:YAG laser, which produced plasma on the sample surface. The plasma emissions were recorded using a broadband (200–800 nm), high-resolution spectrometer (LIBS2500plus, Ocean Optics Inc., USA), which shows that the emission spectra from 532 nm, were more intense and dense in comparison with 1064 nm spectra. The compositional analysis of coal samples was performed using the calibration-free LIBS technique, utilizing the plasma temperature and self-absorption corrected emission line intensities. The analysis yields a number of major and trace elements in coal samples, among which the concentration of carbon varies from 642 to 718 g/kg, and sulfur contents were detected as 1.1 to 7.2 g/kg. The heavy metals chromium and lead were detected in the range of 14 to153 and 210 to 252 ppm, respectively. In addition, the gross calorific value (GCV) of all the coal samples was estimated using the concentrations of carbon, hydrogen, nitrogen, oxygen, and sulfur from 26.40 to 27.18 MJ/kg, which is an important parameter to determine the coal quality and burning efficiency.
Effect of Nursing Intervention on Coronary CT Angiography in Elderly Patients
Authors: Yin Yajuan , Wei Zhongting
Published: June 2022

To investigate the clinical benefits of coronary CT angiography in older adults. The results of this trial were 110 patients who underwent CT angiography (selected from 20 March 2016 to 20 March 2017). Use computer group mode. The control group received health care, including 50 patients, and the control group received usual care, including 60 patients. Then, the best and best image quality, time-consuming analysis, and satisfaction were compared between the two groups. The experimental results showed that the best and best image quality (83.00%), examination time (

5.72
±
1.81

) minutes, and patient satisfaction (100.00%) of the experimental group were better than those of the control group (

P
<
0.05

). Targeted healthcare for patients undergoing coronary CT angiography can improve the patient’s ability to receive a diagnosis with a consistent attitude, reduce work hours, reduce adverse factors, and improve patient satisfaction with care.
Synthesis, Structural, Spectroscopic, and Hirshfeld Surface Analysis, and DFT Investigation of Benzaldehyde Semicarbazone
Authors: Sudha N. , Anbuselvi S. , Jyothula Sudhakar , Thiruppathi A. , Vijayakumar B. , Parmar Kartikeya , Puthilibai G. , Kumar Leevesh
Published: June 2022

By using slow evaporation, single crystals of BDSC (chemical name: 2-benzylidenehydrazine carboxamide) have been formed. A slow evaporation approach was used to generate BDSC single crystals. By using single-crystal XRD, the nonlinear characteristics of the material were studied. The presence of molecular groups was carefully examined using fundamental vibrational analysis. A Hirshfeld analysis was used to study the interactions between molecules. A series of UV-visible, photoluminescence, and VCD spectroscopic experiments were used to verify the optical characteristics of the material. In order to determine the electrical characteristics, dielectric investigations were carried out. Tests of Vickers hardness were used to measure mechanical strength. The SHG behaviour of the crystal was determined using the Kurtz–Perry method. To assess the molecule’s thermal stability, all quantitative calculations were performed using the B3LYP approach with a basis function of 6-31 + G(d,p) and TG/DTA experiments.