bluuebunny/crossref_metadata_2025 huggingface dataset:
Supplemental Material: Trench retreat recorded by a subduction zone metamorphic history
Authors: Dong Jie , Wei Chunjing , al. et
Published: August 2022

Supplemental text, Figures S1–S9, and Tables S1–S5 
Supplemental Material: Sublithospheric melt input in cratonic lamproites
Authors: Sarkar Soumendu , al. et
Published: August 2022

Analytical methods, olivine classification scheme, and supplemental figures and tables. 
Coping styles associated with depression, health anxiety and health-related quality of life in pulmonary hypertension: cross-sectional analysis
Authors: Rawlings Gregg Harry , Thompson Andrew R , Armstrong Iain , Novakova Barbora , Beail Nigel
Published: August 2022

Objectives

Pulmonary hypertension (PH) is a life-shortening disease associated with early mortality and high morbidity. With advancements in medical treatment, people are living longer with the disease, and research is now needed to explore variables that help to enhance patient-reported outcomes. This study investigated the coping strategies of individuals with PH and examined the relationship between coping, depression, health anxiety and health-related quality of life (HRQoL).

Design

A cross-sectional survey design was used.

Participants

Participants (n=121) were recruited from membership of Pulmonary Hypertension Association (PHA) UK.

Outcome measures

Participants completed a series of questionnaires assessing depression (Patient Health Questionnaire-9), health anxiety (Short Health Anxiety Inventory), HRQoL (emPHasis-10) and coping (Brief COPE). A principal component analysis was used to identify participants’ coping profile. A series of correlational, linear and moderated multiple regression analyses were performed to examine the relationship between coping and health-related outcomes.

Results

Overall, 43% participants met criteria for potential clinical depression. Depression and health anxiety were strongly associated with HRQoL, explaining 37% and 30% of variance respectively (p<0.001). A principal component analysis identified a four-component model of coping. Dimensions were named based on construct items: ‘cognitive and affirmation coping’ (seven items), ‘passive coping’ (four items), ‘external coping’ (seven items) and ‘substance use coping’ (two items). Cognitive and affirmation and external coping moderated the relationship between depression and HRQoL, with high use of these coping strategies reducing the impact of depression on HRQoL. External coping also moderated the effect of health anxiety on HRQoL.

Conclusions

The results uniquely highlight the importance of coping styles and psychological distress in predicting HRQoL in PH. Our findings indicate the importance to assess for psychological distress in this population and suggest the need to offer psychological interventions that take into account coping resources and strategies.
Analyses and identification of ICD codes for dementias in the research based on the NHIRD: a scoping review protocol
Authors: Shih Ying-Jyun , Wang Jiun-Yi , Wang Ya-Hui , Shih Rong-Rong , Yang Yung-Jen
Published: August 2022

Introduction

Studies based on health claims data (HCD) have been increasingly adopted in medical research for their strengths in large sample size and abundant information, and the Taiwan National Health Insurance Research Database (NHIRD) has been widely used in medical research across disciplines, including dementia. How the diagnostic codes are applied to define the diseases/conditions of interest is pivotal in HCD-related research, but the consensus on the issue that diagnostic codes most appropriately define dementias in the NHIRD is lacking. The objectives of this scoping review are (1) to investigate the relevant characteristics in the published reports targeting dementias based on the NHIRD, and (2) to address the diversity by a case study.

Methods and analysis

This scoping review protocol follows the methodological framework of the Joanna Briggs Institute Reviewer’s Manual and the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. The review will be performed between 1 March and 31 December 2022 in five stages, including identifying the relevant studies, developing search strategies, individually screening and selecting evidence, collecting and extracting data, and summarising and reporting the results. The electronic databases of MEDLINE, EMBASE, CENTRAL, CINAHL, and PsycINFO, Airiti Library Academic Database, the National Health Insurance Administration’s repository, and Taiwan Government Research Bulletin will be searched. We will perform narrative syntheses of the results to address research questions and will analyse the prevalence across the included individual studies as a case study.

Ethics and dissemination

Our scoping review is a review of the published reports and ethical approval is not required. The results will provide a panorama of the dementia studies based on the NHIRD. We will disseminate our findings through peer-reviewed journals and conferences, and share with stakeholders by distributing the summaries in social media and emails.
HOW MUCH STABILITY DO WE NEED IN THE 1 MM PRESS-FIT IMPLANTATION OF A POROUS-COATED ACETABULAR COMPONENT WITHOUT SCREWS DURING SURGERY?
Authors: Çataltepe Aziz , Unay Koray
Published: August 2022

Background: Press-fit implantation of a porous-coated acetabular component without screws can be used for total hip arthroplasty (THA). The purpose of this report is to determine adequate initial stability of the acetabular component by applying a novel method would allow us to avoid screw use and to evaluate the outcomes of an oversized hemispherical cup using the 1 mm press-fit technique.

Methods: We retrospectively evaluated 119 consecutive patients who underwent THA from February 2011 to June 2015. The intra-operative stability of fixation was checked by trying to pull the metal shell out of the acetabulum using the shell holder (pull-out test). We confirmed these tests using a digital hand scale. When we reached 9 to 10 kg (1 kg = 9.81 N), we showed that the acetabular shell achieved good stability. Kaplan-Meier survivorship analysis was performed to calculate the survival rate of the acetabular component.

Results: The mean follow-up was 6.9 years (5–10 years). No component was revised because of loosening, and all implants were radiologically stable within the observation period. One socket had been revised because of failure of dislocation, which had [Formula: see text] acetabular inclination. There was an acetabular fracture in one hip, which was operated on prior to THA.

Conclusions: We used a new method to assess the initial stability gained using the press-fit technique, which may allow the surgeon to determine whether adequate initial stability is achieved. Cup position has a significant impact on the risk of revision of press-fit cementless acetabular component. The risk for early failure can be decreased by optimal cup positioning during primary implantation. In addition, while a stable bone-implant connection is desirable, fracture of the acetabulum can be avoided using the 1 mm press-fit technique.
Improvement of VIKOR Method With Application to Multi-Objective Design Problems
Authors: Falch Lucas , de Silva Clarence W.
Published: August 2022

For the design process of mechanical or electrical devices it is often necessary to consider multiple objectives. The design problem can then be formulated as multi-objective optimization problem. Multiple objectives can be conflicting and to pick a design solution a trade-off between those is required. A good trade-off is important for a successful product. Different decision making methods are available aiming towards a successful design trade-off; a commonly used method is the VIKOR method. This paper focuses on aspects of this method and reveals some weaknesses. However, a different normalization method is introduced that overcomes these aspects. Next, a minimum weight margin is established that gives information about the stability of a design solution picked by the VIKOR method. The weight margin is helpful for elucidating the decision maker’s uncertainty in the original weight assignment. The modified VIKOR method is then applied to the design of a wearable body sensor network and the design of an EEG electrode. The two design examples show the strength of the new modified VIKOR method resolving shortcomings by the original VIKOR method. Finally, the modified VIKOR method is compared with the theory of fuzzy measures and integrals as a multi-criteria decision making method.
A Gradient-Enhanced Plasticity Based Phase-Field Model for Ductile Fracture Simulations
Authors: Li Huan , Zhang Wenyu , Cheng Xiang
Published: August 2022

Ductile fracture is modeled by using a novel phase-field method of geometric type to avoid the use of the complicated discretization approaches for crack discontinuities. The plasticity model is defined by an over-nonlocal implicit gradient-enhanced framework, which is equivalent to the integral-type plasticity models and therefore strongly nonlocal. A modified phenomenological barrier function is used as the crack phase-field driving force by mainly considering the effects of the nonlocal plastic deformation under shear-dominated stress states. The ductile damage is assumed to solely affect the plastic energy stored capacity from the micro-mechanical perspective such that the proposed approach can be easily extended to more general loading conditions. The implementation of the proposed phase-field method is shown to be easily integrated into the commercial codes (e.g., ABAQUS) through the coupling use of several user interfaces. We present simulations of the shear band formation under axial compression and the ductile crack propagations in a single-edged notched plate, a slanted fracture specimen and a pure shear test specimen to elucidate the viability of the current nonlocal method. The numerical results adequately demonstrate that mesh dependency can be apparently alleviated if material softening occurs.
Effect of interface carbonization on dielectric properties of potassium nitrate nanocomposite based on porous glasses
Authors: Molokov A. , Sysoeva A. , Naberezhnov A. , Kumar R. , Koroleva E. , Vakhrushev S.
Published: August 2022

Dielectric properties and structure of pure and carbon-modified nanocomposites on the base of porous glasses with an average pore diameter of 6 nm (PG6) with embedded KNO3 have been studied at the temperature diapason of 300–430 K and at frequencies of 0.1–3 × 106 Hz on cooling. X-ray diffraction studies of these samples have shown, that in modified and unmodified composites there is a mixture of the low-temperature paraelectric phase ([Formula: see text]-phase) and the ferroelectric [Formula: see text]-phase. In modified composites, a decrease in permittivity and conductivity is observed. Dielectric response has been analyzed in the framework of modern theoretical models. Two relaxation processes have been identified and their origin has been determined. It has been found that the main contribution to the dielectric response of nanocomposite material PG6+KNO3 is provided by charge polarization on interfaces, which can be governed by modifying the inner pore surfaces. DC-conductivity of both composites has been estimated and the activation energies have been determined. Activation energy change observed in a vicinity of 360 K is attributed to the phase transformation and the appearance of KNO3 [Formula: see text]-phase.
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Authors: Wang Yiqi , Li Chaozhuo , Liu Zheng , Li Mingzheng , Tang Jiliang , Xie Xing , Chen Lei , Yu Philip S.
Published: August 2022

Graph neural networks (GNNs)
have been widely applied in the recommendation tasks and have achieved very appealing performance. However, most GNN-based recommendation methods suffer from the problem of data sparsity in practice. Meanwhile, pre-training techniques have achieved great success in mitigating data sparsity in various domains such as
natural language processing (NLP)
and
computer vision (CV)
. Thus, graph pre-training has the great potential to alleviate data sparsity in GNN-based recommendations. However, pre-training GNNs for recommendations faces unique challenges. For example, user-item interaction graphs in different recommendation tasks have distinct sets of users and items, and they often present different properties. Therefore, the successful mechanisms commonly used in NLP and CV to transfer knowledge from pre-training tasks to downstream tasks such as sharing learned embeddings or feature extractors are not directly applicable to existing GNN-based recommendations models. To tackle these challenges, we delicately design an
adaptive graph pre-training framework for localized collaborative filtering (ADAPT)
. It does not require transferring user/item embeddings, and is able to capture both the common knowledge across different graphs and the uniqueness for each graph simultaneously. Extensive experimental results have demonstrated the effectiveness and superiority of ADAPT.
AccHashtag
: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks
Authors: Javaheripi Mojan , Chang Jung-Woo , Koushanfar Farinaz
Published: August 2022

We propose
AccHashtag
, the first framework for high-accuracy detection of fault-injection attacks on Deep Neural Networks (DNNs) with provable bounds on detection performance. Recent literature in fault-injection attacks shows the severe DNN accuracy degradation caused by bit flips. In this scenario, the attacker changes a few DNN weight bits during execution by injecting faults to the dynamic random-access memory (DRAM). To detect bit flips,
AccHashtag
extracts a unique signature from the benign DNN prior to deployment. The signature is used to validate the model’s integrity and verify the inference output on the fly. We propose a novel sensitivity analysis that identifies the most vulnerable DNN layers to the fault-injection attack. The DNN signature is constructed by encoding the weights in vulnerable layers using a low-collision hash function. During DNN inference, new hashes are extracted from the target layers and compared against the ground-truth signatures.
AccHashtag
incorporates a lightweight methodology that allows for real-time fault detection on embedded platforms. We devise a specialized compute core for
AccHashtag
on field-programmable gate arrays (FPGAs) to facilitate online hash generation in parallel to DNN execution. Extensive evaluations with the state-of-the-art bit-flip attack on various DNNs demonstrate the competitive advantage of
AccHashtag
in terms of both attack detection and execution overhead.
Emergence of in vitro preparations and their contribution to understanding the neural control of behavior in vertebrates
Authors: Keifer Joyce
Published: August 2022

One of the longstanding goals of the field of neuroscience is to understand the neural control of behavior in both invertebrate and vertebrate species. A series of early discoveries showed that certain motor patterns like locomotion could be generated by neuronal circuits without sensory feedback or descending control systems. These were called fictitious, or “fictive,” motor programs because they could be expressed by neurons in the absence of movement. This finding led investigators to isolate central nervous system tissue and maintain it in a dish in vitro to better study mechanisms of motor pattern generation. A period of rapid development of in vitro preparations from invertebrate species that could generate fictive motor programs from the activity of central pattern-generating circuits (CPGs) emerged that was gradually followed by the introduction of such preparations from vertebrates. Here, I will review some of the notable in vitro preparations from both mammalian and nonmammalian vertebrate species developed to study the neural circuits underlying a variety of complex behaviors. This approach has been instrumental in delineating not only the cellular substrates underlying locomotion, respiration, scratching, and other behaviors, but also mechanisms underlying the modifiability of motor pathways through synaptic plasticity. In vitro preparations have had a significant impact on the field of motor systems neuroscience and the expansion of our understanding of how nervous systems control behavior. The field is ready for further advancement of this approach to explore neural substrates for variations in behavior generated by social and seasonal context, and the environment.
Object-specific adaptation in the auditory cortex of bats
Authors: Pastyrik Jan D. , Firzlaff Uwe
Published: August 2022

In this study, we show that neurons in the auditory cortex of the bat Phyllostomus discolor are sensitive to novel acoustic stimuli in the context of repetitive virtual echo sequences differing in spectrotemporal envelope. This represents a form of neuronal deviance detection that might help the bats to detect echoes of rare but relevant objects among the clutter.
Maternal separation affects anxiety-like behavior beginning in adolescence and continuing through adulthood and related to Dnmt3a expression
Authors: Wang Xiaobing , Jiang Le , Ma Wenhao , Zheng Xiaoye , He Ershu , Zhang Bensi , Vashisth Manoj Kumar , Gong Zhiting
Published: August 2022

Most anxiety disorders begin in adolescence and continue through adulthood, and research on adolescent anxiety’s pathogenesis and treatment options is insufficient. In this research, our results show that maternal separation can successfully induce anxiety-like behavior in adolescent mice that continues through adulthood, further accompanied by abnormal expression of Dnmt3a, which provides an experimental basis for further development of anxiety/depression treatment programs more suitable for adolescence.
Manual stabilization reveals a transient role for balance control during locomotor adaptation
Authors: Park Sungwoo , Finley James M.
Published: August 2022

We investigated the role of dynamic balance during adaptation to a split-belt treadmill by measuring whole body angular momentum with or without holding on to a handrail. The initial step length asymmetry and associations between balance and asymmetry reduced when holding on to a handrail during early adaptation. These findings indicate that dynamic balance mostly contributes to the initial phase of adaptation when people are exposed to an asymmetric walking constraint.
The Urban Development in Relation to the Occurrence of Diseases in the Casa-Settat Region of Morocco during the Emergence of SARS-CoV-2
Authors: Deblij Sanaa , Bahlaouan Bouchaib , Boutaleb Nadia , Boutaleb FatimaZahra , Bennani Mohamed , El Antri Said
Published: August 2022

The Casa-Settat region is experiencing very worrying environmental and epidemiological problems and challenges, namely, population growth, the significant development of unsupervised industrial activities, road traffic, the significant weight of the spread of diseases with high epidemiological potential such as SARS-CoV-2, the increase in hospital activities, and the significant discharge of hospital effluents highly contaminated and untreated. To understand and analyze the factors influencing the high prevalence of deaths and the occurrence of diseases under surveillance, among others SARS-CoV-2, on the quantitative data recorded relating to ten regions of Morocco, and informing, on the one hand, on intrinsic data linked to the urban development, and on the other hand, on the evolution of diseases under epidemiological surveillance, a multidimensional analysis was made. The results reveal the typological framework highlighted by the factorial map F1 × F2 which showed the individualization of the region of Casablanca explained by a large number of variables and diseases that affect it. Finally, these results call for a diagnosis that will make it possible to model new approaches and implement new actions promoting the dynamics of environmental and epidemiological change in one of the most polluted and infected regions of Morocco.
A New Member of T‐X Family with Applications in Different Sectors
Authors: Shah Zubir , Ali Amjad , Hamraz Muhammad , Khan Dost Muhammad , Khan Zardad , EL-Morshedy M. , Al-Bossly Afrah , Almaspoor Zahra
Published: August 2022

This paper proposes a member of the T‐X family that incorporates heavy‐tailed distributions, known as “a new exponential‐X family of distribution.” As a special case, the paper studies a submodel of the proposed class named a “new exponential Weibull (NEx‐Wei) distribution.” Some mathematical properties including hazard rate function, ordinary moments, moment generating function, and order statistics are discussed. Furthermore, we adopt the method of MLE (maximum likelihood estimation) for estimating its model parameters. A brief Monte Carlo simulation study is conducted to evaluate the performances of the MLEs based on biases and mean square error. Finally, we provide a comprehensive study to illustrate the introduced approach by analyzing three real data sets from different disciplines. The analytical goodness of fit measure of the proposed distribution is compared with other well‐known distributions. We hope that the proposed class may produce many more new distributions for fitting monotonic and nonmonotonic data in the field of reliability analysis and survival analysis as well.
Deformation and Failure Process of Slope Caused by Underground Mining: A Case Study of Pusa Collapse in Nayong County, Guizhou Province, China
Authors: Xiong Shaozhen , Shi Wenbing , Wang Yong , Zhu Chun , Yu Xiaoxiao
Published: August 2022

Pusa village is located in the karst mountain area of Nayong County, Guizhou Province, China. Laoyingyan mountain rock is gently dipping, the upper part consists of hard rock formations, and the lower part is made up of soft rock composed of 3 coal seams. On August 28, 2017, a massive landslide occurred in this area, resulting in 82,3000 m3 of debris, which resulted in significant casualties and brought up the malaise in society. In this paper, the geological conditions and long-term mining activities in the study area are analyzed by field investigation. The base friction tests and numerical models are used to simulate and analyze the failure and deformation process of Pusa collapse to accommodate the research on the deformation and failure mechanism of the slope and provide better prevention and treatment suggestions. The results show that the Pusa collapse can mainly be attributed to unique geological conditions, underground mining activities, and the topography of the slope. The intensified mining activities promoted the development of fractures and cracks in the slope, resulting in unstable upper slopes. The failure process of the Pusa collapse can be summarized into four-stage: the development of goaves roof deformation, the crest of the slope cracks, intensification of deformation, and occurrence of collapse. The upper slope with high strength rock developed crack-toppling failure. Meanwhile, the upper slope with low strength rock developed subside-crack-sliding failure, and those two failures together contributed to the mechanism of Pusa collapse. Slope deformation and failure mechanism can be summarized as subside-crack-toppling-shear sliding type.
Helicobacter bilis Contributes to the Occurrence of Inflammatory Bowel Disease by Inducing Host Immune Disorders
Authors: Peng Wei , Zhao Xinhua , Li Xiaoan
Published: August 2022

Gut microbiota coevolve with humans to achieve a symbiotic relationship, which ultimately leads to physiological homeostasis. A variety of diseases can occur once this balance is disrupted. Helicobacter bilis (H. bilis) is an opportunistic pathogen in humans, triggering multiple diseases, including inflammatory bowel disease (IBD). IBD is a chronic immunologically mediated inflammation of the human gastrointestinal tract, and its occurrence is closely related to the gut microbiota. Several studies have demonstrated that H. bilis colonization is associated with IBD, and its mechanism is related to host immunity. However, few studies have investigated these mechanisms of action. Therefore, this article is aimed at reviewing these studies and summarizing the mechanisms of H. bilis‐induced IBD from two perspectives: adaptive immunity and innate immunity. Furthermore, this study provides a preliminary discussion on treating H. bilis‐related IBD. In addition, we also demonstrated that H. bilis played an important role in promoting the carcinogenesis of IBD and discussed its mechanism.
Surface Movement and Deformation Law Caused by Different Coal Pillar Stagger Distances in Strip Filling IoT-Enabled Sustainable Mining
Authors: Zhu Yuanhao , Zhang Yanjun , Kong Jiayuan , Yang Qian
Published: August 2022

Most of the mines in the middle and lower reaches of the Yellow River Basin in China have the occurrence characteristics of multiple coal seams, and the mining is easy to cause damage to the ecological and human settlement environments. Mine monitoring methods, using Internet of Things (IoT) and machine learning, pursue to develop a suitable atmosphere to avoid similar damages and mine closure with supreme efficacy. Accurate monitoring methods reduce these damages and optimize mining. Strip filling mining is characterized by high efficiency, reliability, and low cost, which provides a good technical support for mining damage control. However, how to reasonably layout the working face under multicoal seam conditions and the law of surface movement under different coal pillar stagger distance need to be studied. Based on the geological and mining conditions of a mine in Shandong Province, through numerical simulation and theoretical analysis, this article studies the influence of coal pillar stagger distance on surface movement of multicoal seam strip filling mining. The study reveals mechanism for surface cooperative deformation under different coal pillar stagger distances. Furthermore, an IoT, cloud computing, and data aggregation based architecture is offered in order to support the development of a digital and sustainable mining platform. The results show that the surface subsidence is positively correlated with coal pillar stagger coefficient and mining layers. When the stagger coefficient s ≥ 0.75, then the surface subsidence and horizontal movement are less affected by the change of coal pillar stagger coefficient. The relationship between surface subsidence ratio and coal pillar stagger coefficient, in multicoal seam strip filling mining, is a power function. The subsidence ratio observed was 0.21–0.32, and the horizontal movement coefficient is about 0.09. The fitting empirical formula of surface subsidence ratio and coal pillar stagger coefficient, in this particular mining area, is established through various machine learning methods. Under the mining conditions of gently inclined coal seam, the surface subsidence can be slowed down to a certain extent by the arrangement of working face along incline direction. Through plausible assumption, our experimental outcomes demonstrate that the proposed prototype can improve the prediction accuracy and model execution times, from 14.2% to 18.9%, through the data aggregation method.
[Retracted] Biomechanics and Neuromuscular Control Training in Table Tennis Training Based on Big Data
Authors: Qu Qingling , An Meiling , Zhang Jinqian , Li Ming , Li Kai , Kim Sukwon
Published: August 2022

Thinking of big data as a collection of huge and sophisticated data sets, it is hard to process it effectively with current data management tools and processing methods. Big data is reflected in that the scale of data exceeds the scope of traditional volume measurement, and it is difficult to collect, store, manage, and analyze through traditional methods. Analyzing the biomechanics of table tennis training through big data is conducive to improving the training effect of table tennis, so as to formulate corresponding neuromuscular control training. This paper mainly analyzes various indicators in biomechanics and kinematics in table tennis training under big data. Under these metrics, an improved decision tree method was then used to analyze the differences between athletes trained for neuromuscular control and those who did not. It analyzed the effect of neuromuscular control training on the human body through different experimental control groups. Experiments showed that after nonathletes undergo neuromuscular control training, the standard rate of table tennis hitting action increases by 10% to 20%, reaching 80%. The improvement of athletes is not very obvious.
Clinical Efficacy of Creatine Phosphate Sodium and/or Vitamin C in the Treatment of Children with Viral Myocarditis: A Meta-Analysis
Authors: Li Qiyu , Liu Siyuan , Ma Xuemei , Yu Jiaping
Published: August 2022

Background. This study performed a meta-analysis to explore the clinical efficacy of creatine phosphate sodium (CPS) and/or vitamin C for viral myocarditis (VMC) in children, to provide guidance for its clinical treatment. Methods. A literature search was performed on PubMed, Web of Science, Embase, China National Knowledge Infrastructure, and Wanfang databases to obtain published clinical randomized controlled trials (RCTs) on CPS and/or vitamin C for VMC in children, with a time span from 2013 to 2022. Relevant data was extracted and meta-analysis was performed using the statistical software Stata 16.0. Results. A total of 723 studies were retrieved and 19 studies were finally included for meta-analysis, with a total of 1,957 patients. The meta-analysis results showed that the observation group (conventional treatment + CPS and/or vitamin C) was superior to the control group (conventional treatment alone) in treatment effective rate (

OR
=
3.60

, 95% CI (2.55, 5.07), and

P
<
0.001

). Additionally, the observation group had lower levels of cardiac troponin-I (SMD = − 2.63, 95% CI (− 3.51, − 1.76), and

P
<
0.001

), creatine kinase isoenzyme (

SMD
=
−
2.78

, 95% CI (− 3.53, − 2.03), and

P
<
0.001

), lactate dehydrogenase (

SMD
=
−
1.95

, 95% CI (− 2.49, − 1.42), and

P
<
0.001

), aspartate aminotransferase (

SMD
=
−
0.87

, 95% CI (− 1.84, 0.09), and

P
=
0.076

), tumor necrosis factor-α (

SMD
=
−
3.90

, 95% CI (− 4.47, − 3.06), and

P
<
0.001

), and higher superoxide dismutase levels (

SMD
=
2.48

, 95% CI (1.64, 3.33), and

P
<
0.001

). Except aspartate aminotransferase, there were significant differences between the two groups in the other parameters. Conclusion. CPS and/or vitamin C treatment could greatly improve the treatment, protect myocardial function, and relieve inflammatory response in children with VMC.
The Application Trend and Advantages of Mobile Technology in Higher Education
Authors: Li Bo
Published: August 2022

The emergence of mobile wireless technology has profoundly altered how people produce goods and live their lives, but even as we take advantage of its speed and convenience, we must also be aware of its drawbacks. A new technology supported by contemporary technology is mobile wireless Internet technology. It is computer-, network-, and new media-based. Education and teaching are becoming more important in society as a result of the social economy’s rapid growth and the reform and development policies’ gradual advancement. It can develop the skills required by society and make teaching more widely known. The semisupervised learning positioning algorithm used in this study lowers the training phase acquisition costs. The proposed algorithm significantly resolves the issue that the DV-Hop algorithm is not suitable for anisotropic network positioning by applying the concept of triple equidistant coverage to anisotropic wireless sensor networks and combining it with multiple mobile beacons. According to the results of the experimental analysis, the following conclusions can be made: information processing can be found to be essentially stable at a level of more than 40%, which will greatly strengthen the use of mobile wireless technology in higher education. The improvement in overall performance will reach 65.7 percent. Following the experiment, it was discovered that the average transmission efficiency for mobile wireless technology is 57.4%, which is extremely high.
An Improved Transition Probability Matrix for Crime Distribution Prediction
Authors: Zhang Junhao , Zhang Kaicun , Li Weiping
Published: August 2022

The occurrence of crime has always been the main problem affecting urban public security and social security environment. Therefore, the prevention and control of crime is the focus of public security work. The traditional police strategy has poor timeliness and cannot respond and adjust in real time with the occurrence of criminal activities, and its deterrence and control of criminal activities are limited. To address the problem of low accuracy of existing crime distribution prediction models, an improved transition probability matrix for crime distribution prediction is proposed in this paper. Based on a large number of trajectory data of criminals, this paper quantitatively describes the temporal and spatial characteristics of crowd movement in different areas of the city by using the temporal and spatial transfer probability. Then, combining Markov chain and Bayes’ theorem, the probability model of spatio-temporal transfer of criminal groups in regions is constructed. Finally, the model predicts the number of crimes in urban grid areas.
Object-Oriented Technology Model of Regional Industrial Economic Innovation Project Management System
Authors: Zhang Weiwei
Published: August 2022

Managers have a deeper understanding of computer technology, network technology, and communication technology, which is also a necessary condition for the implementation of project management information. It plays an important role in improving the performance of regional resource-based industry and high-tech service industry. By analyzing the current situation of the company’s project management, the project management and management processes are standardized and the management of project quality, progress, contract, and cost through the design system is completed, so that the various resources of the project can be effectively and rationally allocated and utilized. Information communication inside and outside the project is more convenient, smooth, and fast, and more standardized operating procedures can be carried out. This paper also improves the level of local government governance, shapes the cultural connotation of innovation, openness, and cooperation, and strengthens the cultivation and flow of social elements. A series of policy suggestions are put forward in building the capacity system of both sides of industrial integration, thus greatly improving the overall project management level and the company’s decision-making and analysis ability, so as to achieve fine and precise management objectives.
Deciphering the Pharmacological Mechanisms of Qidan Dihuang Decoction in Ameliorating Renal Fibrosis in Diabetic Nephropathy through Experimental Validation In Vitro and In Vivo
Authors: Liang Qiuer , Bai Zhenyu , Xie Ting , Lu Hanqi , Xiang Lei , Ma Ke , Liu Tianhao , Guo Tingting , Chen Liguo , Zhao Xiaoshan , Xiao Ya
Published: August 2022

Objective. QiDan DiHuang decoction (QDD) has been proven to have good efficacy in decreasing albuminuria levels, improving renal function, and inhibiting renal fibrosis in diabetic nephropathy (DN). However, the potential mechanism remains unclear. The purpose of this study was to explore the underlying mechanism of QDD for treating DN in vitro and in vivo. Methods. Db/db mice were treated with QDD or saline intragastrically for 12 weeks. Non-diabetic db/m mice were used as controls. Rat renal tubular epithelial cells (NRK-52E) were cultured in high glucose conditions. ATF4 siRNA was transfected into NRK-52E cells. Different indicators were detected via UPLC, RT-PCR, western blotting, cell viability assays and apoptosis, transmission electron microscopy, histology, and immunofluorescence staining. Results. Db/db mice experienced severe kidney damage and fibrosis, increased levels of PERK, eIF2α, and ATF4, and suppression of renal autophagy compared with db/m mice. The results showed a significant improvement in glucose intolerance, blood urea nitrogen, urine albumin, serum creatinine, and renal fibrosis in db/db mice with QDD treatment. Meanwhile, the application of QDD resulted in the downregulation of PERK, eIF2α, and ATF4 and the upregulation of autophagy in diabetic kidneys. In vitro, the exposure of NRK-52E cells to high glucose resulted in downregulation of the ratio of LC3-II/LC3-I and upregulation of P62, a reduction in the number of autophagosomes and upregulation of fibronectin (FN), collagen IV and TGF-β1 protein, which was reversed by QDD treatment through inhibiting ATF4 expression. Conclusions. Taken together, our results suggest that QDD effectively alleviates diabetic renal injuries and fibrosis by inhibiting the PERK-eIF2α-ATF4 pathway and promoting autophagy in diabetic nephropathy.
Low-Power Task Scheduling Algorithm for the Multicore Processor System Based on the Genetic Algorithm
Authors: Li Xianning
Published: August 2022

In order to solve the periodic hard real-time tasks with dependencies on multicore processors, the author proposes a low-power task scheduling algorithm for multicore processor systems based on the genetic algorithm. This method first uses the RDAG algorithm to separate the tasks and then takes the lowest power consumption as the principle; a genetic algorithm is used to determine the task mapping. Experimental results show that based on the power consumption model of Intel PXA270, several random task sets are used for simulation experiments, which shows that this method saves 20% to 30% of the energy consumption compared with the existing methods. This method effectively shortens the completion time of tasks, improves the utilization efficiency of multicore system resources, improves the parallel computing capability of multicore systems, reduces the average response time of tasks, and improves the throughput and resource utilization of multicore systems.
Network Pharmacology Analysis, Molecular Docking, and In Vitro Verification Reveal the Action Mechanism of Prunella vulgaris L. in Treating Breast Cancer
Authors: Bai Haotian , Wang Rui , Li Yalan , Liang Xiao , Zhang Junhao , Sun Na , Yang Jing
Published: August 2022

Background. Prunella vulgaris L. is effective in the treatment of breast cancer (BRCA); however, the underlying mechanism is still unclear. The aim of this study was to elucidate the mechanism of treatment of BRCA by P. vulgaris using network pharmacology and molecular docking technology, and to verify the experimental results using human BRCA MDA-MB-231 cells. Methods. Active components and action targets of P. vulgaris were determined using the TCMSP™, SwissTarget Prediction™, and TargetNet™ databases. GeneCards™ and OMIM™ provided BRCA targets. After obtaining common targets, a protein-protein interaction (PPI) network was constructed using the STRING™ database, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted using the Xiantao™ academic database. Cytoscape™ was used to construct “single drug-disease-component-target” and “single drug-disease-component-target-pathway” networks. The Human Protein Atlas™ was used to determine protein expression levels in BRCA cell lines. AutoDock tools™ were used to carry out molecular docking for the first 10 targets of quercetin and the PPI network. Finally, the abovementioned results were verified using cell experiments. Results. We obtained 11 active components, 198 targets, and 179 common targets, including DUOX2, MET, TOP2A, and ERBB3. The results of KEGG pathway analysis screened 188 related signaling pathways and indicated the potential key role of PI3K-Akt and MAPK signaling pathways in the antibreast cancer process of P. vulgaris. The results of molecular docking showed that the first 10 targets of quercetin interacted well with the protein network. Cell experiments showed that quercetin effectively inhibited the proliferation of MDA-MB-231 cells by regulating apoptosis and cell cycle, which may be partly related to the MAPK signaling pathway. Conclusion. Synergistic effects of multiple components, targets, and pathways on the anti-BRCA activity of P. vulgaris could provide a theoretical basis for further study on its complex anti-BRCA mechanism.
A Robust DOA Tracking Method Using a Nested Array in Impulse Noise
Authors: Wang Yufeng , Zhao Dasheng , Zhang Yidu , Wang Tiebin
Published: August 2022

To achieve the underdetermined direction of arrival (DOA) tracking in impulse noise, we propose a robust DOA tracking method in this paper. Firstly, an infinite norm difference covariance (INDC) matrix is introduced to suppress the impulse noise. Secondly, using a nested array, we present a maximum likelihood DOA tracking equation based on the INDC matrix. Furthermore, a quantum-inspired multiverse algorithm is proposed to maximize efficiently the proposed tracking equation. The simulation results show that our method has better robustness and superiority compared to other DOA tracking methods, which can achieve underdetermined DOA tracking in impulse noise as well as in the multipath environment.
Correlation Financial Option Pricing Model and Computer Simulation under a Stochastic Interest Rate
Authors: Yin Xiaocui
Published: August 2022

With the continuous expansion of the consumer interest rate market today, the risks brought by interest rate fluctuations have had a huge and far-reaching impact on the financial markets of many countries and it is becoming more and more important to simulate the pricing of financial options. In the traditional pricing model of financial options, the pricing standard of the pricing model is generally set as a financial product with random disturbance characteristics and the market price of its transaction does not follow the arbitrage principle of financial product pricing. It is easy to generate errors and cause risks, and the accuracy of traditional financial option pricing models is not high, and the simulation time is long, which greatly reduces the rate of financial transactions. To improve the accuracy of option pricing models, this paper uses computer simulation technology to simulate the pricing of correlated financial options under stochastic interest rates. From the four aspects of error, risk parameters, success rate, and simulation time, it is tested to observe the influence of computer simulation technology on the financial option pricing model. The final results show that by using computer simulation technology, the error of the correlation financial option pricing model under the random interest rate is reduced, the success rate is improved, the risk parameter is reduced by 3.03%, and the simulation time is reduced by 0.605 seconds.
[Retracted] Control System of Fire Rescue Robot for High‐Rise Building Design
Authors: Yu Junfang
Published: August 2022

In recent years, with the steady and rapid growth of the national economy, various industries have developed rapidly and the resulting fire accidents have also been on the rise. This study mainly discusses the control system of a fire rescue robot for a high‐rise building design. Robot fire detection method involves obtaining the video image of the fire detection area through a high‐definition camera, performing image preprocessing on the current frame image of the video in the robot operating system to obtain the image; and performing the flame area segmentation based on the Ohta color space and the Otsu threshold segmentation algorithm on the image, to obtain the segmented image; through the interframe difference method, the preprocessed image of the previous frame is subtracted from the current frame image and the moving area of the image is segmented to obtain the segmented image; the obtained segmented image is combined with the segmented image in the robot operating system and images are intersected to obtain a segmented image with the characteristics of flame motion; based on other characteristics of the flame, flame recognition is performed on the area in the segmented image. Fires in high‐rise buildings are increasing gradually, which seriously endangers the safety of human life and property. The firefighting robot and its control system play an important role in the fire protection of high‐rise buildings. The purpose of this study is to analyze the disaster relief effect of a firefighting robot and control system in high‐rise buildings. In this study, we use MATLAB software to model and simulate the rescue situation of a firefighting robot in high‐rise buildings. The fuzzy control system established in the fuzzy logic toolbox of MATLAB can easily replace human field work and can change the control rules and membership function in the FIS editor. The results show that the rise time and adjustment time of the system are basically the same under the condition of variable load stiffness. The maximum overshoot is 0.59%, and the steady‐state error is 0.19%. The maximum overshoot is 1.0148%, and the stability error is 0.46%. It is concluded that the expert PID algorithm is efficient and practical. It can be concluded that the robot position control system adopts PID control algorithm, and the attitude control system adopts expert PID control algorithm. This research provides some value for the development and design of firefighting robots in high‐rise buildings in the future and also brings important significance.
[Retracted] Development of Microneedle Patch Loaded with Bacopa monnieri Solid Lipid Nanoparticles for the Effective Management of Parkinson’s Disease
Authors: Joy Delna , Jose Jobin , Bibi Shabana , Bandiwadekar Akshay , Gopan Gopika , Mariana Gonçalves Lima Clara , Bin Emran Talha , A. Alhumaydhi Fahad , Ashtekar Harsha , D. S Sandeep , Adam Conte-Junior Carlos
Published: August 2022

The demand for drug delivery systems (DDS) to treat Parkinson’s disease (PD) is still high, and microneedle (MN) assisted transdermal DDS offers enormous potential. Herbal products for PD have been shown to have antioxidant effects in reducing dopaminergic neurons from degeneration. Here, we attempted to incorporate solid lipid nanoparticles (SLNs) of Bacopa monnieri into dissolvable microneedle arrays and evaluate its neuroprotective activity. The bloodless and painless microneedle arrays through the transdermal route deliver the drug across the blood‐brain barrier at the desired concentration. The quality by design (QbD) approach was employed for optimizing the SLNs formulations. The mechanical strength, in vitro release studies, ex-vivo permeation investigation, skin irritation test, histopathological studies, biochemical studies, and behavioural tests SLNs loaded microneedle arrays were performed. The microneedle patches obtained were shown to be mechanically robust and were also found to be nonirritant with a decreased degree of bradykinesia, high motor coordination, and balance ability. Compared to systemic delivery systems, such an MN method can achieve a considerably lower effective dose and allow long‐term home‐based treatment.