bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Oxidizer Mixture Composition on Stabilizing Stratified Oxy-Flames in Dual Lean Premixed Combustors for Gas Turbines
Authors: Nemitallah Medhat A. , Hamzat Abdulhammed K. , Ismaila Kehinde G.
Published: August 2022

This study investigates the effects of oxidizer composition on stability and combustion and emission characteristics of stratified premixed CH4-O2-CO2 flames in a dual annular counter-rotating swirl (DACRS) burner for wider near blowout operability of gas turbines. Flame stratification was achieved by dividing the incoming reactants into primary and secondary streams of different oxygen fractions (OF). The effects of primary and secondary OFs (primary OFs: 60%, 50%, and 30%; and secondary OFs: 60%, 50%, 40%, and 30%) were numerically investigated at fixed inlet throat velocities and equivalence ratios (φ) of the primary and the secondary streams of 6 m/s and 2 m/s and of 0.9 and 0.55, respectively. The probability distribution function has been used to average the thermochemical properties and reaction rates. Two distinct flame shapes, the v-shaped and the conical-shaped were identified as a function of the oxidizer composition. V-shaped flames with enhanced flow mixing, strong inner and outer recirculation zones (IRZ and ORZ), and intensive interactions between both streams at lower Damkohler number (Da) were recorded for OFs within 30–50%. This indicates the ability of the DACRS burner to extend the lean blowout limit by holding stratified stable flames of lower OFs. The flame shape turned into a conical shape at OFs of 60–60% for both streams, the IRZ disappeared, intensive reaction rates of higher Da attained, and the flashback mechanism approached. Weak flame/flow interactions were observed at OFs higher than 50% with excessive combustion temperature near the burner tip. CH4 disappeared very close to the burner tip, indicating fast reactions.
Comparative Studies on Shear Failure Behaviors of U71Mn Rail Steel at High Strain Rates Using Hat-Shaped Specimens
Authors: Wu Jianbing , Wang Zhanjiang
Published: August 2022

The shear failure behaviors of U71Mn rail steel are investigated by quasi-static and dynamic compression tests utilizing two different hat-shaped specimens: S1 which combines shear and compressive stress states and S2 which combines shear and tensile stress states. A split Hopkinson pressure bar is used to acquire shear stress–strain curves at various initial temperatures and shear strain rates, and it is found that a lower shear strain rate is observed in hat-shaped specimen S1 than that in hat-shaped specimen S2 under the same impact pressure. Scanning electron microscopy is employed for observing the microstructures of specimens. The results indicate that the hat-shaped specimen S1 is difficult to form voids and dimples. Moreover, as far as the hat-shaped specimen S2 is concerned, the number of voids reduces with the rising shear strain rate, and no voids appear on the fracture surface at the shear strain rate of 36,000 s−1. Furthermore, the creation of voids is aided by a rise in initial temperature. The factors affecting the formation of adiabatic shear bands are explored based on the numerical simulation, which suggests that the magnitude of the temperature gradient plays a crucial role in the generation of adiabatic shear bands.
Multifidelity Optimization Under Uncertainty for Robust Design of a Micro-Turbofan Turbine Stage
Authors: Adjei Richard Amankwa , Zheng Xinqian , Lou Fangyuan , Ding Chuang
Published: August 2022

This paper presents a multifidelity optimization strategy for efficient uncertainty quantification and robust optimization applicable to turbomachinery blade design. The proposed strategy leverages freeform parameterization technique for flexible geometric perturbation and multifidelity information to reduce the number of evaluations of the expensive information source needed for robust optimization. The multifidelity Monte Carlo method was used to construct and exploit a surrogate-based multifidelity model based on the combination of high and low-fidelity CFD simulations and cheap regression models. Uncertainty quantification and robust optimization considering manufacturing tolerances were performed at a single operating point. An improvement in mean isentropic expansion efficiency of 2.98% was achieved for the robust design compared with the baseline although the mean mass flow rate and total pressure ratio differed by 1.72% and 0.67%, respectively. Compared to a single high-fidelity model, the multifidelity model was able to estimate the mean with a maximum deviation of 0.28% and 2.9% for the standard deviation. Furthermore, the multifidelity model realized a percentage reduction in computational cost of 66.18% for a combination of high fidelity CFD and regression models and 17.87% for high and low CFD models. One key observation was that, for small sampled high-fidelity CFD datasets that are highly correlated, it is possible to use only the high-fidelity model combined with regression models for constructing the multifidelity model without the need for low-fidelity CFD dataset. This significantly reduces the computational cost and time for acquiring and constructing a reliable stochastic model whiles maintaining reasonable accuracy.
Thermal Convection for an Oldroyd-B Fluid in an Anisotropic Porous Medium Underlying a Fluid Layer
Authors: Yin Chen , Pan Panpan
Published: August 2022

We investigate the thermal convection in a fluid layer overlying an anisotropic porous medium with Oldroyd-B fluids in the paper. The linear stability analysis and the Chebyshev pseudo-spectral method are used to obtain the numerical results. We found that the neutral curves are bimodal at some depth ratios. The proper values of the permeability ratio and the thermal diffusivity ratio are found to stabilize the stationary convection and the oscillatory convection. Furthermore, the variation of permeability ratio does not affect the bimodal nature of the neutral curves. In addition, the increase in the stress relaxation time has an unstable effect on the oscillatory convection, but the strain retardation time has the opposite effect.
The β
2
AR gets SNOed
Authors: Foley John F.
Published: August 2022

S-nitrosylation of the β
2
-adrenergic receptor induces its desensitization and internalization.
A Temperature-Sensitive Recombinant of Avian Coronavirus Infectious Bronchitis Virus Provides Complete Protection against Homologous Challenge
Authors: Keep Sarah , Stevenson-Leggett Phoebe , Dowgier Giulia , Foldes Katalin , Webb Isobel , Fones Albert , Littolff Kieran , Everest Holly , Britton Paul , Bickerton Erica
Published: August 2022

Infectious bronchitis virus is a pathogen of economic and welfare concern for the global poultry industry. Live-attenuated vaccines against are generated by serial passage of a virulent isolate in embryonated eggs until attenuation is achieved.
Genomes from Uncultivated Pelagiphages Reveal Multiple Phylogenetic Clades Exhibiting Extensive Auxiliary Metabolic Genes and Cross-Family Multigene Transfers
Authors: Wittmers Fabian , Needham David M. , Hehenberger Elisabeth , Giovannoni Stephen J. , Worden Alexandra Z.
Published: August 2022

One of the most abundant and diverse marine bacterial groups is
Pelagibacter
. Phages have roles in shaping
Pelagibacter
ecology; however, several Pelagiphage lineages are represented by only a few genomes.
Lysine Acetylome Profiling Reveals Diverse Functions of Acetylation in Deinococcus radiodurans
Authors: Zhang Yongqian , Li Nuomin , Wei Qiushi , Min Rui , Liu Feng , Wang Fuli , Deng Yulin
Published: August 2022

D. radiodurans
is distinguished by the most radioresistant organism identified to date. Lysine acetylation is a highly conserved posttranslational modification that plays an essential role in the regulation of many cellular processes and may contribute to its extraordinary radioresistance.
Disease burden of primary biliary cholangitis and associated pruritus based on a cross-sectional US claims analysis
Authors: Gungabissoon Usha , Gibbons Daniel C , Requena Gema , Ribeiro de Souza Andrea , Smith Helen
Published: August 2022

Objective

In order to identify areas of unmet need in patients with primary biliary cholangitis (PBC), this study sought to use real-world observational healthcare data to characterise the burden in patients with PBC and in PBC patients with a recorded diagnosis of pruritus.

Design

This retrospective, cross-sectional database study compared prevalence of prespecified comorbidities and medications in the PBC population and PBC-pruritus subpopulation with non-cases using an indirect standardisation approach. The PBC population was identified from the US IBM MarketScan Commercial Claims and Medicare Supplemental Database during 2016 using International Classification of Diseases 10th Revision, Clinical Modification codes (≥2 claims for PBC); the PBC-pruritus subpopulation additionally had ≥1 claim for pruritus during this period. Non-cases had no claims for PBC. Indirect age-sex standardised prevalence ratios (iSPR) and 95% confidence intervals (CIs) were calculated for prespecified comorbidities and medications recorded during 2017.

Results

The PBC population (N=1963) and PBC-pruritus subpopulation (N=139) had significantly higher prevalence of fatigue (19.9%, iSPR (95% CI): 1.51 (1.36 to 1.66); 26.6%, 2.10 (1.48 to 2.90)), depression/anxiety (21.3%, 1.09 (0.99 to 1.20); 28.1%, 1.46 (1.04 to 2.00)) and sleep-related issues (6.9%, 1.18 (0.99 to 1.40); 14.4%, 2.58 (1.58 to 3.99)) compared with non-cases. Bile acid sequestrants were prescribed in 5.8% and 18.0% of the PBC and PBC-pruritus populations, respectively. In general, a higher prevalence of comorbidities and medication use was observed in the PBC-pruritus subpopulation compared with the PBC population and non-cases.

Conclusion

Despite availability of treatments for PBC, the PBC population had a higher burden of comorbidities than non-cases. This burden was even greater among the PBC-pruritus subpopulation, with a particularly high prevalence of sleep disorders and depression/anxiety. Despite this, pruritus remains undertreated highlighting a need for treatments specifically indicated for cholestatic pruritus.
Optimising breathlessness triggered services for older people with advanced diseases: a multicentre economic study (OPTBreathe)
Authors: Yi Deokhee , Reilly Charles C , Wei Gao , Higginson Irene J
Published: August 2022

Background

In advanced disease, breathlessness becomes severe, increasing health services use. Breathlessness triggered services demonstrate effectiveness in trials and meta-analyses but lack health economic assessment.

Methods

Our economic study included a discrete choice experiment (DCE), followed by a cost-effectiveness analysis modelling. The DCE comprised face-to-face interviews with older patients with chronic breathlessness and their carers across nine UK centres. Conditional logistic regression analysis of DCE data determined the preferences (or not, indicated by negative β coefficients) for service attributes. Economic modelling estimated the costs and quality-adjusted life years (QALYs) over 5 years.

Findings

The DCE recruited 190 patients and 68 carers. Offering breathlessness services in person from general practitioner (GP) surgeries was not preferred (β=−0.30, 95% CI −0.40 to −0.21); hospital outpatient clinics (0.16, 0.06 to 0.25) or via home visits (0.15, 0.06 to 0.24) were preferred. Inperson services with comprehensive treatment review (0.15, 0.07 to 0.21) and holistic support (0.19, 0.07 to 0.31) were preferred to those without. Cost-effectiveness analysis found the most and the least preferred models of breathlessness services were cost-effective compared with usual care. The most preferred service had £5719 lower costs (95% CI −6043 to 5395), with 0.004 (95% CI −0.003 to 0.011) QALY benefits per patient. Uptake was higher when attributes were tailored to individual preferences (86% vs 40%).

Conclusion

Breathlessness services are cost-effective compared with usual care for health and social care, giving cost savings and better quality of life. Uptake of breathlessness services is higher when service attributes are individually tailored.
Tsallis entropy inspires geometric thermodynamics of specific black hole
Authors: Rani Shamaila , Jawad Abdul , Moradpour Hooman , Tanveer Aqsa
Published: August 2022

In this paper, we analyze the thermodynamics of five-dimensional Schwarzschild AdS black hole in $$AdS_5 \times S^5$$

A
d

S
5

×

S
5

spacetime in the presence of Tsallis entropy. Since the cosmological constant $$\Lambda $$
Λ
is considered as thermodynamical pressure with volume as its conjugate, but this explanation cannot be employed in AdS/CFT correspondence. In this study, we associate cosmological constant $$\Lambda $$
Λ
in boundary gauge theory with the number of colors N and chemical potential is taken to be its thermodynamic conjugate. The two geometric parameters in the AdS black hole, r and L are substituted for two thermodynamic parameters in the micro-canonical ensemble, which are considered to be entropy S and $$N^2$$

N
2

. Moreover, we evaluate several thermodynamical geometry formulations, including Weinhold, Ruppeiner, and Quevedo and derive associated scalar curvatures for five-dimensional Schwarzschild AdS black hole. It is suggested that all these geometries show repulsive/attractive forces on the particles at different phases of entropy.
Spectral properties and photophysical processes of meso styryl substituent triphenylamine-porphyrin derivatives
Authors: Wang Rong , Gong Kun , Liu Ruihong , Liu Dongzhi , Li Wei , Wang Lichang , Zhou Xueqin
Published: August 2022

This work reports the synthesis and spectral properties of meso-styryl substituted triphenylamine-porphyrin derivatives, mP-BLP, mPPC-BLP and their metal coordinated complexes. The photophysical processes were analyzed and related to the meso-groups and centre metal ions. The meso styryl substituent in mP-BLP and its complexes are able to extend the conjugation of porphyrin macrocycle to the styryl motif, increase light harvesting ability and accelerate intersystem crossing (ISC) process. A large dihedral angle between the meso-styryl group and porphyrin macrocycle would prohibit the delocalization of electrons between the two motifs and induce the occurrence of solvation decay process. Increasing the electron-withdrawing ability of meso-substituent via additional pyrimidine group could promote the photoinduced intramolecular electron transfer (PIET) process for mPPC-BLP. Moreover, the coordination of metal ions would significantly accelerate the photophysical processes of both mP-BLP and mPPC-BLP. Specially, the Mg[Formula: see text] is helpful to the ISC process whereas Zn[Formula: see text] is adverse to the ISC process, while Cu[Formula: see text] would boost the non-radiation process. Furthermore, Zn[Formula: see text] is able to promote the PIET process of mPPC-BLP, exhibiting the highest charge-separated tendency among these porphyrins. mPPC-ZnBLP-based dye-sensitized solar cell (DSSC) devices show the highest power conversion efficiency (PCE). The photovoltaic performance of DSSC devices reveals the significancy of the photoinduced charge-separated tendency for the design of porphyrin sensitizers.
Reconstruction of Artifacts from Digital Image Repositories
Authors: Flagg Cristopher , Frieder Ophir
Published: August 2022

The U.S. Patent Office maintains an archive of cultural artifacts of both ornamental and functional designs. Design patents protect “any new, original, and ornamental design for an article of manufacture” [
23
] such as busts, statues, and the shape or configuration of any article of manufacture. The Patent Office archive originally contained both drawings and models as an effort to preserve a chronological history of the science and culture of the United States. This collection was devastated by two fires in 1836 and 1877, which destroyed or damaged more than 100,000 patent models. The Patent Office began divesting its collection in 1908, and Congress ultimately chose to dissolve the collection in 1926. A total of 10,000 of the original models are preserved in the collections of the Smithsonian National Museum of American History in Washington, D.C., and another 5,000 are preserved in the collections of the Hagley Museum and Library in Wilmington, Delaware. Although most of the physical artifacts no longer exist, documents describing the original physical models remain. These documents show each artifact as a collection of multiple black and white images depicting the artifact from different views. We propose an algorithm to reconstruct 3D point cloud models of the original artifacts from multiview images collected directly from the Patent Office archives. The use of 3D point cloud models allows both local and global geometric properties of the artifact to be described in a single vector representation. This vector representation of the artifact may be used individually or in combination with other descriptors for retrieval and classification tasks. For collections that are unclassified or where differing classification systems are used, these vector representations allow clustering of artifacts into meaningful groupings.
The discontinous future
Authors: Easterbrook Steve
Published: August 2022

We speak of research agendas, curriculum change, working with practitioners, etc, as if the future world (over the next decade or so) will be like the present world. It won't be.
Stability of the vajont dam
Authors: Petrocelli Carla
Published: August 2022

October 9, 1963: the wave of death hits Longarone, Pirago, Villanova, killing 1910 people in just four minutes. A huge mass of water passes the damming of the Vajont dam and devastates the valley below, a narrow gorge that cuts through Mount Toc which is located on the border between the Italian regions of Veneto and Friuli-Venezia Giulia.
Synthesis of Tantalum Doped NMC811 and Its Impact on Crystal Structure and Electrochemical Performance at Higher Upper Cut-off Voltage
Authors: Dalkilic Mert , Schmidt Alexander , Schladt Thomas D. , Axmann Peter , Wohlfahrt-Mehrens Margret , Lindén Mika
Published: August 2022

Ni-rich, cathode active materials such as Li[Ni0.8Mn0.1Co0.1]O2 (NMC811) suffer from capacity fade, especially at higher upper cut-off voltages. There is an increasing interest on dopants such as Mo or Ta as a promising dopants for high-Ni materials. In this study four cathode active materials with Li[(Ni0.78Mn0.11Co0.11)1−xMx]O2 (NMC811, x = 0, 0.005, 0.007, 0.013; M = Ta) were synthesized via a batch co-precipitation synthesis followed by calcination. To increase the probability of homogeneous distribution of the dopant, the highly porous hydroxide precursor was impregnated with Ta-ethoxide and afterwards calcined. Focus of this study is the effect of Ta on the crystal structure and its influence on stability at high voltage operation. Using Rietveld method, trends for several unit cell parameters, such as c-parameter, crystallite size, microstrain, transition metal-oxygen bond lengths) were found. Doping NMC811 with 0.5 mol% Ta leads to <3% lower initial capacity (205 mAh g−1 at C/10), >5% higher capacity retention (>85%), and >7% higher accumulated energy output over 100 cycles at 1 C (66.3 kWh kg−1 for 3.0–4.5 V vs Li+/Li). This performance enhancement is attributed to the high transition metal—oxygen bond dissociation energy, which is thought to significantly suppress surface phase transformations, and hence, reduce the vulnerability towards material degradation.
Capacity and Coulombic Efficiency Measurements Underestimate the Rate of SEI Growth in Silicon Anodes
Authors: Rodrigues Marco-Tulio F.
Published: August 2022

Capacity measurements and related quantities are the first layer of information acquired during testing of Li-ion cells. It is generally considered that elevated values of coulombic efficiency and capacity retention are absolute indicators of the existence of a stable solid electrolyte interphase (SEI). Here, we challenge this notion by analyzing how the effect of side reactions on cell capacity depends on the choice of electrodes. More specifically, we demonstrate that the extent of measurable capacity fade due to SEI growth is modulated by the shape of the voltage profile of the cathode and anode at the end of charge and discharge half-cycles. This shape-dependency creates a mismatch between SEI growth and cell capacity loss, which is relatively small for graphite anodes but sizable for silicon-containing electrodes. We illustrate this point by showing that, at the same coulombic efficiency and capacity retention, cells containing silicon-based materials could actually exhibit rates of SEI growth that are as much as ≥ 40% higher than graphite cells. The main implication of this behavior is that, for certain systems, capacity measurements may be an unreliable source of information about the extent of reactions at the SEI, allowing other consequences of these side reactions (such as electrolyte depletion) to proceed unchecked while the cell appears to be stable.
[Retracted] Circ TYMP1 Inhibits Carcinogenesis and Cisplatin Resistance in Ovarian Cancer by Reducing Smad2/3 Phosphorylation via a MicroRNA‐182A‐3p/TGF1B Axis
Authors: Rao Yang , Zhang Wenwen , Li Dan , Li Xiao , Ma Yaomei , Qu Pengpeng
Published: August 2022

TYMP1 is a cancer driver in several human malignancies. However, its significance in ovarian cancer (ovarian carcinoma) remains uncertain. This research aims to understand the TYMP1’s role in ovarian carcinoma carcinogenesis and cisplatin (DDP) resistance and its molecular ovarian marchionesses. Circ TYMP1 overexpression in ovarian carcinoma samples led to an accelerated tumor stage. Bioinformatics identified miR‐182A‐3p as the TYMP1’s target transcript. Circ TYMP1 functioned as a sponge for miR‐182A‐3p, lowering its inhibitory effect on TGF1B. Downregulating circ TYMP1 decreased A2780‐Res cell proliferation, invasion, and death resistance. Malignant ovarian carcinoma cells recovered following miR‐182A‐3p downregulation. TGF1B overexpression boosted A2780‐Res cell proliferation, aggression, and cisplatin resistance while reducing Smad2/3 phosphorylation. TYMP1 sequesters miR‐182A‐3p and promotes TGF1B in ovarian carcinoma, boosting carcinogenesis and cisplatin resistance. This might lead to novel ovarian carcinoma treatments.
Therapeutic Effect of Continuous Blood Purification Combined with Humanized Nursing in Patients with Severe Sepsis
Authors: Gan Lili , Hu Jiafeng , Xia Li , Xi Xiaoqin
Published: August 2022

This work aimed to explore the effect of humanized nursing on the patients’ recovery from severe sepsis based on continuous blood purification (CBP). 90 patients with severe sepsis were randomly and equally divided into a control group (basic intensive nursing + CBP) and a therapy group (humanized nursing + CBP). Before treatment and on the 7th and 14th days after treatment, indicators of patients were compared, including white blood cell (WBC), tumor necrosis factor (TNF-α), hepatic and renal function, C-reactive protein (CRP), brain natriuretic peptide (BNP), procalcitonin (PCT), and erythrocyte sedimentation rate (ESR). The mortality and nursing satisfaction were compared. After treatment, the saturation of pulse oxygen (SPO2) in the therapy group (85 ± 20 and 91 ± 9) was higher than that in the control group (78 ± 28 and 82 ± 18, respectively), and the lactic acid level (LAL) was greatly lower (2.8 ± 2.4 and 1.6 ± 0.9 vs. 4.3 ± 2.3 and 2.3 ± 2.7). The Acute Physiology and Chronic Health Evaluation II (APACHE-II) score after treatment was lower (13.67 ± 4.28 and 8.45 ± 5.12 vs. 17.34 ± 6.4 and 11.46 ± 4.23). The BNP, blood urea nitrogen (BUN), and CRP levels were decreased, and so did inflammatory indicators. The survival rate reached 71% and 47% in the therapy group and control group, respectively; and the nursing satisfaction was 97.80% and 26.67%, respectively. Humanized nursing combined with CBP could improve the therapeutic effect and speed up the recovery from severe sepsis.
Early Warning Method of Postgraduate Education Quality in Colleges and Universities Based on Multisource Information Fusion
Authors: Xu Yue , Zhou Xiaorui , Qi Wanxia , Wu Jialing
Published: August 2022

With the rapid development of postgraduate education in my country, the contradiction between its quantitative growth and quality improvement has become increasingly prominent. At the same time, due to the downward shift in the focus of postgraduate education management, the role of provincial governments in the reform and development of postgraduate education has become increasingly important. Therefore, strengthening the practice of quality supervision and evaluation of postgraduate education at the provincial level is not only a realistic result of the development of postgraduate education in my country but also an inevitable requirement for the further development of postgraduate education in my country in the future, which has an important theoretical and practical significance. With the rapid development and wide application of computer network technology, communication technology, and multisensor technology, multisource information fusion has been selected by many colleges and universities as a method to evaluate the quality of postgraduate study because of its closeness to the frontier of disciplines. Therefore, how to effectively improve the teaching quality of multisource information fusion courses is a practical problem that needs to be solved urgently, and the improvement of teaching quality is also a key factor affecting the comprehensive quality of students. This paper deeply analyzes the setting and requirements of the information fusion course, combines the characteristics of mathematical theory and tools in information fusion, uses multisource data to model student behavior, and proposes a serialized prediction framework based on a deep network. The network structure reasonably integrates multisource data and automatically extracts behavioral characteristics. Combined with the static characteristics of students, the paper uses the long-term and short-term memory network to model the overall online behavior of students and finally predicts the probability that students have academic risks. The model is tested on a real university course dataset, and the experimental results show that the performance of the proposed algorithm is better than the baseline comparison algorithm.
The Influence of Digital Transformation of Foreign Trade Enterprises on Their Business Performance
Authors: Ye Zheng , Tong Yongjia
Published: August 2022

In the context of digital economy, the international trade mode has undergone profound changes, so digital transformation has become the key to the sustainable development of foreign trade enterprises. In this paper, by collecting the data of 27 foreign trade enterprises listed in Shanghai and Shenzhen A shares from 2010 to 2020 and adopting the method of full text identification of enterprise comprehensive financial reports to quantify the intensity of enterprise digital transformation, the influence of digital transformation of foreign trade enterprises on the main business performance and the effect of two mediating variables of internal control and innovation ability of enterprises were studied. The result shows that the digital transformation of foreign trade enterprises has a significant role in promoting their main business performance. From the mechanism of action, digital transformation promotes the overall improvement of the main business performance of enterprises by improving the internal management of enterprises and enhancing the mediating role of enterprise innovation ability. Finally, from the perspectives of government and enterprises, some suggestions were put forward for foreign trade enterprises to choose the development path of digital transformation.
Analysis of Influencing Factors of College Students’ Physical Exercise Habits Based on the Continuous Discrete Algorithm
Authors: Zhang Zhijian , Jiang Miaomiao , Shi Guanglong , Gao Shanshan
Published: August 2022

At present, college students give great importance to their physical training, but their physical habits are poor and they cannot exercise regularly. In view of the influencing factors in the habit formation of physical exercise, this paper puts forward a continuous discrete algorithm to provide students with a scientific and reasonable habit formation scheme. First, the data of college students’ physical exercise habits are collected, and the data are cleaned and continuously analyzed to initially form a habit formation data set; Then, the information gain and clustering thought in the discrete algorithm are used to judge the data change, and the ordered relationship among the factors is obtained. Finally, in judging the influence degree of each factor, we find out the final influencing factors. MATLAB simulation shows that the continuous discrete algorithm can accurately analyze the problem of physical exercise habit formation and sort the influencing factors, with an accuracy rate of 90% and a calculation time of less than 19 minutes, which is significantly better than the original discrete algorithm.
Development Model of Rural Governance in Internet Plus in the New Era
Authors: Tao Jiebing
Published: August 2022

With the advent of the Internet era, the brand-new concept of “Internet Plus” is promoting the innovation of rural governance mode through unprecedented technical means. “Internet Plus governance” is the only way to realize the modernization of grass-roots governance, and it is also a technical means that grass-roots governments are trying to use at present. It not only meets the basic needs of the broad masses of the people but also closely combines democratic governance with people’s happiness as the foothold of modern grass-roots governance. It not only realizes people-oriented humanistic care but also embodies the ruling policy of governing the country according to law. However, at present, villagers’ ability and awareness of participating in rural governance and using “Internet Plus” are weak, and the government’s planning and design of rural governance in “Internet Plus” are not systematic, and the investment related to rural governance has not been implemented. Based on this actual situation, this paper analyzes the problems existing in rural governance under the background of “Internet Plus” and the causes of these problems and puts forward corresponding countermeasures to prevent and solve the potential crisis of rural grass-roots governance, explore a sustainable way to keep close contact between democratic governance and people’s happiness, and provide effective reference materials and practical enlightenment for rural revitalization and grass-roots democratic governance.
Application of Digital Orthopedic Technology in Orthopedic Trauma
Authors: Lin Jiangtao , Ge Junbo , Gong Jinpeng , Hong Huanyu , Jiang Chuanqiang
Published: August 2022

In order to solve the limitation of auxiliary treatment means in the process of orthopedic trauma surgery, and further improve the effective integration of orthopedic trauma clinical surgery and computer technology, a new orthopedic trauma auxiliary treatment means based on digital orthopedic technology was proposed with the aid of virtual digital technology. The method builds a 3D model of fracture fragments through 3D orthopedic modeling and obtains a high-quality 3D model through processing. Later clinical tests verify the feasibility of this auxiliary treatment method. The test results show that the precision of the 3D reconstruction model based on custom option fitting is higher than that based on optimal option fitting, and the precision difference is within 0.2%. This result also indicates that the 3D model obtained by 3D reconstruction has higher accuracy. The results show that three-dimensional finite element modeling technology can accurately simulate the stress of the spine of orthopedic patients and can reduce the incidence of complications through preoperative diagnosis, curative effect prediction, and trauma surgery, which has a good aid for postoperative recovery.
Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology
Authors: Cao Jianfeng , Dai Yunfei , Hu Liqiang , Liang Yiju , Liu Yuan , Yang Bo
Published: August 2022

In order to solve the problems of high risk and low efficiency of the traditional rock mass structure logging method of open-pit mine slope, this paper proposes a method to improve the geological logging of traditional open-pit mine slope by using UAV tilt photography technology. Taking the slope of an open-pit quarry as an example, this method expounds the application method and work flow of UAV photography technology in geological logging. The experimental results show that the maximum and minimum absolute errors in the

X
 

direction of UAV test are 5.1 cm and 1.1 cm, respectively; MAE value is 2.90 cm; and RMSE value is 3.17 cm. The maximum and minimum absolute errors in

Y
 

direction are 3.3 cm and 0.9CM, respectively; MAE value is 2.36 cm; and RMSE value is 2.498 cm. Vertical error refers to the error in elevation. The maximum and minimum absolute errors in

Z

direction are 9.6 cm and 5.7 cm, respectively; MAE value is 7.44 cm; and RMSE value is 7.54 cm. Conclusion. The reliability of this technology is verified by comparing the occurrence measured by compass and that calculated by point cloud. On this basis, the dominant occurrence of structural plane is divided, which provides basic data support for the analysis of mine slope stability.
Big Data Analysis and Application of Liver Cancer Gene Sequence Based on Second-Generation Sequencing Technology
Authors: Xiao Chaohui , Wang Fuchuan , Jia Tianye , Pan Liru , Wang Zhaohai
Published: August 2022

In big data analysis with the rapid improvement of computer storage capacity and the rapid development of complex algorithms, the exponential growth of massive data has also made science and technology progress with each passing day. Based on omics data such as mRNA data, microRNA data, or DNA methylation data, this study uses traditional clustering methods such as kmeans, K-nearest neighbors, hierarchical clustering, affinity propagation, and nonnegative matrix decomposition to classify samples into categories, obtained: (1) The assumption that the attributes are independent of each other reduces the classification effect of the algorithm to a certain extent. According to the idea of multilevel grid, there is a one-to-one mapping from high-dimensional space to one-dimensional. The complexity is greatly simplified by encoding the one-dimensional grid of the hierarchical grid. The logic of the algorithm is relatively simple, and it also has a very stable classification efficiency. (2) Convert the two-dimensional representation of the data into the one-dimensional representation of the binary, realize the dimensionality reduction processing of the data, and improve the organization and storage efficiency of the data. The grid coding expresses the spatial position of the data, maintains the original organization method of the data, and does not make the abstract expression of the data object. (3) The data processing of nondiscrete and missing values provides a new opportunity for the identification of protein targets of small molecule therapy and obtains a better classification effect. (4) The comparison of the three models shows that Naive Bayes is the optimal model. Each iteration is composed of alternately expected steps and maximal steps and then identified and quantified by MS.
[Retracted] Analysis of Different College Music Education Management Modes Using Big Data Platform and Grey Theoretical Model
Authors: Guo Ying , Xu Shanshan
Published: August 2022

Colleges and universities are crucial hubs for talent development, carrying out the vital task of supplying top‐notch talent for all spheres of society. The growth of society and the economy is significantly influenced by the quality of education and teaching. A significant factor is the caliber of the instruction. Therefore, it is essential to innovate the educational management model in order to promote the holistic development of college students as well as the orderly development of educational and teaching activities in colleges and universities. The college and university music education model has made progress after years of development. In spite of its successes in reform, there are still a lot of issues that require close attention. The education system is constantly being updated and improved in order to meet modern development needs. It is essential to develop innovative strategies with strong operability from multiple perspectives in response to the actual issues that arise in order to carry out the reform work smoothly and steadily advance the innovation of the management model of music education in colleges and universities. This paper analyzes the teaching impact of the single‐line education management model and the credit system education management model and predicts the students’ musical performance based on the gray theoretical model and the big data platform. The experiment revealed that as learning time increases, the teaching effects of the two learning modes increase, but it is evident that the credit system education management mode’s teaching effect is superior. The single‐line education management model among them has an average score of 83.3 points, and the credit system education management model has an evaluation score of 86.1 points.
The Investigation on Nosocomial Infection of Acinetobacter baumannii and the Clinical Analysis of Sequential Therapy of Cefoperazone/Sulbactam Sodium for Intracranial Infection
Authors: Xiong Zezhong , Zeng Defu , Shen Shilong , Han Zhibang
Published: August 2022

Background. Intracranial infection is a serious complication after neurosurgery. According to a survey, the incidence of intracranial infection is about 2.2%-2.6%, and patients with severe symptoms may even pose a threat to their life safety. Objective. To explore the risk factors for intracranial infection caused by Acinetobacter baumannii after surgery and the clinical effect of sequential therapy of cefoperazone/sulbactam sodium. Methods. In this study, a retrospective study was used. In this case-control study, 48 cases of intracranial Acinetobacter baumannii infection after neurosurgery in our hospital from January 2016 to December 2021 were selected as the infection group, and 96 patients without intracranial infection after surgery during the same period were selected as the control group to study all kinds of related factors and analyze the risk factors for intracranial Acinetobacter baumannii infection; in addition, in accordance with the therapeutic regimen for anti-infection, the infection group was divided into the tigecycline group (patients with tigecycline therapy in this group) and the combined group (patients with tigecycline combined with cefoperazone/sulbactam sequential therapy), with 24 cases in each group in order to compare the therapeutic effects of the two groups. Results. Logistic regression factor model results show that increasing age of patients, surgical treatment for intracranial tumor or craniocerebral trauma, postoperative drainage time (≥3 days), and postoperative hospital stay (≥10 days) were the risk factors for postoperative intracranial infection of Acinetobacter baumannii in neurosurgical patients (P<0.05), and postoperative prophylactic antibiotic treatment can reduce the incidence of intracranial infection (P<0.05). The cerebrospinal fluid nucleated cell count, serum CRP, and serum PCT in the combined group 72 h after treatment were lower than those in the tigecycline group, and the difference was statistically significant (P<0.05). Compared with the clinical efficacy after 72-hour treatment, the cure rate and effective rate in the combined treatment group were 83.33% and 16.67%, respectively, and those in the tigecycline group were 54.17% and 33.33%, respectively. The invalid interest rate was 12.50%, and the combined treatment group was superior to the tigecycline group (P<0.05). Conclusion. For patients with craniocerebral surgery, targeted preventive interventions should be carried out for the risk factors that may lead to intracranial Acinetobacter baumannii infection. The clinical effect of tigecycline combined with cefoperazone and sulbactam sodium sequentially in the treatment of intracranial Acinetobacter baumannii infection is better.
[Retracted] Analysis of Music Retrieval Based on Emotional Tags Environment
Authors: Bao Nuan
Published: August 2022

In general, tags are used to interpret the content of music, while the music itself expresses emotion. The emotional information conveyed by the same music is described by a large number of emotion tags in various ways. This paper proposes and establishes an algorithm for music retrieval based on emotional tags. By modelling user emotional tags and music, a bipartite graph with emotional tags and music as nodes is first created. The tags and semantic similarity between the music are then calculated using the T_SimRank algorithm, and the popularity of the music is calculated using the T_PageRank algorithm. Finally, the two methods are combined using the concept of ranking learning to produce the final ranking of the music. Experiments demonstrate that the method suggested in this paper can better satisfy user retrieval needs than conventional cosine similarity and tag co‐occurrence‐based similarity methods and that the fusion of multiple methods is preferable to a single method.
Preliminary Phytochemical Composition and In Vitro Anthelmintic Activity of Aqueous and Ethanol Extracts of Olea africana against Mixed Gastrointestinal Worms in Dogs
Authors: Orengo Kenneth Otieno , Mbaria James Mucunu , Ndichu Maingi , Jafred Kitaa , Okumu Mitchel Otieno
Published: August 2022

Olea africana is used by some indigenous communities in Kenya to control gastrointestinal worms in animals. Plant-based anthelmintics are gaining popularity globally in the control of gastrointestinal worms in animals. The egg hatch inhibition assay was used to assess the in vitro anthelmintic efficacy of aqueous and ethanol leaf extracts of O. africana against the eggs of mixed gastrointestinal helminths in dogs. Probit regression was used to calculate the concentration of extracts that inhibited egg hatching by 50% (IC50). Albendazole was used as a control. Standard techniques were used to quantify the phytochemicals in the extracts. The aqueous extract had an IC50 of 1.85 mg/mL (1.64–2.10), and the ethanol extract had an IC50 of 0.25 mg/mL (0.23–0.26). Quantitative phytochemical analysis revealed that aqueous and ethanol extracts of O. africana contained alkaloids (19.40 and 61.60%), saponins (24.00 and 6.00%), phenols (0.95 and 1.28 mg/g gallic acid equivalents (GAE)), flavonoids (8.71 and 12.26 mg/g catechin equivalents (CE)), and tannins (67.30 and 76.30 mg/g of tannic acid equivalent (TAE)), respectively. O. africana has dose-dependent anthelmintic effects against mixed gastrointestinal worms in dogs. These findings support the traditional use of Olea africana as a treatment option for gastrointestinal worms in dogs.
[Retracted] Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology
Authors: Zhang Wenfeng
Published: August 2022

People can learn, understand, and use music using the solfeggio method. People involved in professional music training have given it importance because it is a fundamental discipline of enlightenment music and a necessary training method and technical theory course to enter the professional level. This article presents an in‐depth analysis of the music curriculum model based on data mining technology. Additionally, a music style classification method based on FP Growth association rules mining is developed, which decreases the number of frequent element sets needed and speeds up database scanning. To better match the characteristics of music, a multirepetition structure model is used, and the MFCC (Mel‐frequency cepstral coefficients) function is used to set the repetition structure model. The results demonstrate that the music style classification method put forth in this article has clear advantages in terms of efficiency: when the minimum support is 0.2 percent, this method’s execution time is about 33 percent compared to the other methods. The outcomes of the experiment suggest that this method can more accurately capture the repeatability of music and enhance separation performance to some extent.
[Retracted] Image Genetic Analysis and Application Research Based on QRFPR and Other Neural Network‐Related SNP Loci
Authors: Liu Zehao , Zeng Songxian , Quan Xinglin
Published: August 2022

The development of neuroimaging technology and molecular genetics has produced a large amount of imaging genetics data, which has greatly promoted the study of complex mental diseases. However, because the feature dimension of the data is too high, the correlation measure assumes that the data obey Gaussian distribution, and traditional algorithms often cannot explain these two types of data well. This article mainly studies image genetics analysis and its application based on neural network. In this paper, based on the theory and application technology of neural network, the tree structure is established by prior knowledge, that is, each SNP site is used as a leaf node of the tree, and the LD block and genome formed by the linkage imbalance of multiple SNP sites are used as intermediate nodes. Then, the hierarchical relationship of features was introduced. On this basis, a sparse learning method based on tree structure guidance is used to select features from multiple features of multiple SNPs locus regression candidate brain regions. Finally, the identification of SNPs in feature selection is used to predict quantitative traits of brain regions. The distribution of the typical vector values obtained by the algorithm in the experimental data is basically consistent with the distribution of the median of the actual data, and the correlation coefficient obtained is closest to the actual correlation coefficient in the data set. The average correlation coefficient of the algorithm reaches 82.3%, which is about 4.2% higher than the control algorithm. Experimental results show that this method can not only significantly improve the regression performance but also detect the risk gene SNPs loci with spatial clustering features and functional interpretation significance. It is practical and effective to use it in clinical trials.
Application of Grey Deformation Prediction Model Optimized by Double Coefficient for Tailings Dam
Authors: Chu Cunji , Xu Gangnian
Published: August 2022

As a nonuniform structure, tailings dam undergoes complex and chaotic nonlinear changes, under the joint influence of multiple dynamic or nondynamic factors. These changes make it difficult to predict the deformation of tailings dam accurately with a numerical model. To solve the problem, this paper proposes a grey deformation prediction model optimized by double coefficient (GDPM-DC). Unlike a single grey prediction model, the GDPM-DC does not mutate significantly but adapts well to specific scenarios. Besides, the model can smoothen and stabilize the original data and thus achieve accurate prediction of the deformation of tailings dam. The main results are as follows. The GDPM-DC made more accurate predictions than the traditional grey model (1, 1) (GM (1, 1)), the grey model based on logarithmic transformation (GM-LT), and the grey model optimized by weight coefficient (GM-WC). It significantly improved the overall prediction accuracy of the vertical and transverse deformations of the dam and controlled the relative error of the predicted seepage pressure to 2.79%–3.71%. Moreover, the model could forecast the trend component and random fluctuation component of seepage pressure effectively, fit the increasing trend in stages 1–3 and the decreasing trend in stages 3–9, and realize the quantitative prediction of deformation law for the operating tailings dam. The research results provide a meaningful reference for the instability analysis and safety management of tailings dam.