bluuebunny/crossref_metadata_2025 huggingface dataset:
Cement Sheath Integrity Evaluation Under Multiple Cyclic Loading Using Mechanical Equivalent Experiment for Gas Storage Wells in Eastern China
Authors: Su Donghua , Li Zaoyuan , Wu Xuning , Li Jin , Sun Jinfei , Zheng Guanyi
Published: October 2022

Gas storage wells in eastern China have been in operation for nearly 30 years. Fatigue damage may have occurred in the cement sheath after years of injection-production cycles. If the risk of integrity failure of the cement sheath can be predicted accurately, optimization or remedial measures can be implemented over time to further prolong the life of gas storage wells. In this paper, we established a mechanical equivalent method to restore the wellbore load borne by the cement sheath to the self-developed wellbore simulation device, and carried out the cyclic load tests of 376, 141 and 54 rounds at the injection-production differential pressure of 5, 10 and 15 MPa, respectively. Based on this method and the twin-shear unified strength theory, the integrity failure mechanism of the cement sheath was analyzed. We found that after cyclic loading, the tensile strength of the cement sheath decreased. Fatigue-tensile failure was the main reason for the integrity failure of the cement sheath in gas storage wells. Residual tensile strength decreased with the increase in cycle time and injection-production differential pressure. Taking a gas storage well in eastern China as an example, it was found that if the well maintains the current injection-production differential pressure, there is a risk of cement sheath failure. In this regard, the optimization measures of reducing injection-production pressure difference were proposed to prolong wellbore life. At the same time, the suggestion of using a modified cement system in gas storage wells was also proposed. The research results can provide an important reference for predicting gas storage well life and designing mechanical properties of cement sheath.
Physics-Informed Neural Network With Numerical Differentiation for Modelling Complex Fluid Dynamic Problems
Authors: My Ha Dao , Pao-Hsiung Chiu , Jian Cheng Wong , Chin Chun Ooi
Published: October 2022

In this study, novel physics-informed neural network (PINN) methods are proposed to allow efficient training with improved accuracy. The computation of differential operators required for loss evaluation at collocation points are conventionally obtained via automatic differentiation (AD). Such PINNs require large optimization iterations and are very sample intensive because they are prone to optimizing towards unphysical solutions without sufficient collocation points. To make PINN training sample efficient, the idea of using numerical differentiation, coupled with automatic differentiation, is employed to define the loss function. The proposed coupled-automatic-numerical differentiation scheme — labeled as can-PINN — strongly links the collocation points, thus enabling efficient training in sparse sample regimes. The superior performance of can-PINNs is demonstrated on several challenging PINN problems, including the rotational flow problem and the channel flow over a backward facing step problem. The results reveal that for the challenging problems, can-PINNs can always achieve very good accuracy while the conventional PINNs based on AD fail.
Blast Loading Profile of Gaseous Hydrogen in Confined Space Under Various Leak Conditions
Authors: Kim Seon Jin , Lee Hyun Ho , Park Soung Woo , Baeg Dae Yu , Kim Jeong Hwan , Seo Jung Kwan
Published: October 2022

Research on hydrogen facilities in the shipbuilding industry and on hydrogen fuel ships and carriers is growing due to the depletion of fossil fuels and the increasingly strict regulation of environmental pollution. Compared with hydrocarbon-based fuels, hydrogen fuel has low minimum ignition energy and a wide-ranging flammability limit. Therefore, before utilizing hydrogen energy, hazard assessment studies of hydrogen leakage and explosion must be performed to ensure safety. It is hazardous to the release of gaseous hydrogen into confined spaces, such as storage and engine rooms of ships, because the hydrogen gas cloud, which is less dense than air, stagnates and accumulates near the ceiling. The main objective of this study is to examine the effects of gaseous hydrogen leakage conditions in confined spaces on the behavior of flammable gas cloud and blast loading profile. To analyze hydrogen gas cloud behavior, hydrogen release experiments were conducted in a 1.0 m × 1.0 m × 3.0 m enclosure at various leak nozzle heights (0.3, 1.5, and 2.7 m) and leak rates (100, 200, and 300 L/min). The results of hydrogen leakage experiments, the flammable gas cloud volume were found to increase with increasing leakage rate and decreasing leakage nozzle height. Due to the lack of the number of concentration sensors, there was a limit to the analysis of all the concentration field of hydrogen in the enclosure. All flammable concentration fields in the enclosure were evaluated and compared using FLACS, the computational fluid dynamics simulation software. In addition, the effects of ignition heights on hydrogen blast loading were analyzed using FLACS. The simulation revealed that a high hydrogen leak rate and a far leak nozzle-ceiling distance tends to result in a large gas cloud volume, which in turn results in high peak pressure and impulse. The highest overpressure and impulse were approximately 5 barg and 39 kPa·s, respectively. These results suggest that in confined spaces, equipment with high potential for hydrogen leakage (e.g., pipes) should not be designed near the ground. This paper thus contributes to the design standard for hydrogen storage facilities in confined spaces (e.g., ships) and lays the foundation for establishing a standard for marginal safety blast walls for protection from hydrogen explosions.
Sparse optimization for nonlinear group delay mode estimation
Authors: Liang Hao , Ding Xinghao , Jakobsson Andreas , Tu Xiaotong , Huang Yue
Published: October 2022

Nonlinear group delay signals with frequency-varying characteristics are common in a wide variety of fields, for instance, structural health monitoring and fault diagnosis. For such applications, the signal is composed of multiple modes, where each mode may overlap in the frequency-domain. The resulting decomposition and forming of time-frequency representations of the nonlinear group delay modes is a challenging task. In this study, the nonlinear group delay signal is modelled in the frequency-domain. Exploiting the sparsity of the signal, we present the nonlinear group delay mode estimation technique, which forms the demodulation dictionary from the group delay. This method can deal with crossed modes and transient impulse signals. Furthermore, an augmented alternating direction multiplier method is introduced to form an efficient implementation. Numerical simulations and experimental data analysis show the effectiveness and advantages of the proposed method. In addition, the included analysis of Lamb waves as well as of a bearing signal show the method's potential for structural health monitoring and fault diagnosis.
Cellular barcoding to decipher clonal dynamics in disease
Authors: Sankaran Vijay G. , Weissman Jonathan S. , Zon Leonard I.
Published: October 2022

Cellular barcodes are distinct DNA sequences that enable one to track specific cells across time or space. Recent advances in our ability to detect natural or synthetic cellular barcodes, paired with single-cell readouts of cell state, have markedly increased our knowledge of clonal dynamics and genealogies of the cells that compose a variety of tissues and organs. These advances hold promise to redefine our view of human disease. Here, we provide an overview of cellular barcoding approaches, discuss applications to gain new insights into disease mechanisms, and provide an outlook on future applications. We discuss unanticipated insights gained through barcoding in studies of cancer and blood cell production and describe how barcoding can be applied to a growing array of medical fields, particularly with the increasing recognition of clonal contributions in human diseases.
Immobilization of a Broad Range of Polypeptides on the Frustule of the DiatomThalassiosira pseudonana
Authors: Shimakawa Ginga , Katayama Shota , Tsuji Yoshinori , Yoneda Kohei , Fukuda Wakao , Fujiwara Shinsuke , Matsuda Yusuke
Published: October 2022

Proteins immobilized on biosilica which have superior reactivity and specificity and are innocuous to natural environments could be useful biological materials in industrial processes. Living diatom silica immobilization (LiDSI) is a recently developed technique forin vivoprotein immobilization on the diatom frustule.
Auto- and Hetero-Catalytic Processing of the N-Terminal Propeptide Promotes the C-Terminal Fibronectin Type III Domain-Mediated Dimerization of a Thermostable Vpr-like Protease
Authors: Huang Qianqian , Zhang Kui , Li Yu , Gan Fei , Tang Xiao-Feng , Tang Bing
Published: October 2022

Vpr-like proteases are widely distributed in bacteria and fungi and are involved in processing lantibiotics, degrading collagen, keratin, and fibrin, and pathogenesis of microbes. The dissection of the roles of individual domains in enzyme maturation and oligomerization is crucial for understanding the action mechanisms of these multidomain proteases.
Tripartite Symbiotic Digestion of Lignocellulose in the Digestive System of a Fungus-Growing Termite
Authors: Ahmad Farhan , Yang Guiying , Zhu Yaning , Poulsen Michael , Li Wuhan , Yu Ting , Mo Jianchu
Published: October 2022

Fungus-farming termites have a mutualist association with fungi of the genus
Termitomyces
and gut microbiota to support the nearly complete decomposition of lignocellulose to gain access to nutrients. This elaborate strategy of plant biomass digestion makes them ecologically successful dominant decomposers in (sub)tropical Old World ecosystems.
Myometritis with pelvic septic vein thrombophlebitis secondary toFusobacterium necrophorumsepsis
Authors: Koshy Kalarickad Maria , Malik Waleed , Roberts Scott C
Published: October 2022

A young woman in her 20s presented with fever, abdominal pain and malodourous vaginal discharge. She was found to be in septic shock, in the setting of a recent medical abortion with subsequent intrauterine device placement. Her blood cultures grewFusobacterium necrophorum. Despite appropriate antibiotic therapy, the fever failed to defervesce. Subsequent evaluation revealed septic thrombophlebitis of the right gonadal vein and branches of the right iliac vein. She improved with a prolonged course of targeted antimicrobial therapy.
Efficacy of cetuximab plus PD-1 inhibitor differs by HPV status in head and neck squamous cell carcinoma: a systematic review and meta-analysis
Authors: Zhang Siqi , Zheng Mengge , Nie Deheng , Xu Lili , Tian Huimin , Wang Mengmeng , Liu Wenjia , Feng Zhenbang , Han Fujun
Published: October 2022

Background

The addition of cetuximab significantly increased the antitumor effect of programmed cell death protein 1 (PD-1) inhibitors in recurrent or metastatic head and neck squamous cell carcinoma (HNSCC). However, preliminary analyses suggested that human papillomavirus (HPV)-positive disease benefited less than HPV-negative disease. Therefore, we conducted a meta-analysis to assess whether the efficacy of the combination therapy varied according to HPV status in HNSCC.

Methods

We identified clinical trials of patients with recurrent or metastatic HNSCC who received PD-1 inhibitor monotherapy or the combination therapy of cetuximab plus a PD-1 inhibitor. The participants were divided into four groups based on the type of therapy (combination vs monotherapy) and HPV status (positive vs negative). We focused on three comparisons (monotherapy vs combination therapy by HPV status and HPV-positive vs HPV-negative disease in combination therapy). The primary and secondary endpoints were objective response rate (ORR) and 1-year overall survival (OS) rate, respectively. The ORR and 1-year OS rate were pooled using random-effects models for each group and were compared for the different comparisons.

Results

Overall, 802 patients from seven trials were eligible for the ORR assessment; of which, 684 patients received PD-1 inhibitor monotherapy and 118 patients underwent the combination therapy. Compared with PD-1 inhibitor monotherapy, the addition of cetuximab improved the ORR in HPV-negative disease (pooled ORR in monotherapy vs combination therapy: 15% vs 46%, p<0.001) but not in HPV-positive disease (17% vs 18%, p=0.686). The efficacy of adding cetuximab was consistent for the 1-year OS rate in HPV-negative disease (pooled 1-year OS rate in monotherapy vs combination therapy: 36% vs 59%, p<0.001) and in HPV-positive disease (40% vs 55%, p=0.252). After the combination therapy, HPV-positive disease had a significantly lower ORR than HPV-negative disease (odds ratio: 0.29, p=0.004), but no differences were shown in the 1-year OS rate.

Conclusions

Our meta-analysis suggests that the addition of cetuximab to a PD-1 inhibitor is more effective compared with PD-1 inhibitor monotherapy only in patients with HPV-negative HNSCC. Despite the retrospective nature of this meta-analysis, these findings should help in designing relevant clinical trials rationally.
On the tension between the latest NO$$\nu $$A and T2K data
Authors: Rahaman Ushak , Raut Sushant K.
Published: October 2022

The latest data from the T2K and NO$$\nu $$νA experiments show a tension in their preferred values of the oscillation parameters. In this work, we try to identify the source of the tension between the data from these two experiments. An analysis of their data from various channels (individually, and combined) shows that the tension arises primarily from the$$\nu _e$$νeappearance data, and is compounded by the$$\bar{\nu }_\mu $$ν¯μdisappearance data. We provide an explanation for the tension based on parameter degeneracies. Apart from the analysis with the standard matter effect, we also analyse the data with the vacuum oscillation hypothesis. We find that vacuum oscillations fit the data as well as matter effects do; and also reduce the tension between the two experiments. We have also done a study of the future run of NO$$\nu $$νA, T2K and DUNE in the context of establishing this tension with higher statistical significance.
On the propagation across the big bounce in an open quantum FLRW cosmology
Authors: Battista Emmanuele , Steinacker Harold C.
Published: October 2022

The propagation of a scalar field in an open FLRW bounce-type quantum spacetime is examined, which arises within the framework of the IKKT matrix theory. In the first part of the paper, we employ general-relativity tools to study null and timelike geodesics at the classical level. This analysis reveals that massless and massive non-interacting particles can travel across the big bounce. We then exploit quantum-field-theory techniques to evaluate the scalar field propagator. In the late-time regime, we find that it resembles the standard Feynman propagator of flat Minkowski space, whereas for early times it governs the propagation across the big bounce and gives rise to a well-defined correlation between two points on opposite sheets of the spacetime.
Developing a New Model for Ecological Capability Evaluation of Forestry in Arid and Semi-Arid Regions
Authors: Jokar Parviz , Masoudi Masoud , Mathur Manish
Published: October 2022

Forest planning is a necessary requirement for long-term, economically efficient and environmentally responsible forest management and use. Iran has 12 million ha of forest cover, with 5 million ha in the mountainous Zagros area. Many of the improper uses in these forests, so far removed from the past, have resulted in significant degradation. The purpose of this paper is to check and compare the prepared methods, including the Iranian Ecological Model (with seven classes using Boolean logic), its revised method (with four classes using Boolean logic and four classes using geometric mean evaluation, as well) and a new model for ecological capability evaluation for better planning management for commercial and conservational forestry in Jahrom County located in Fars Province, Iran. In this study, we assessed the potential for conservational forestry in two ways: first, by adjusting the quantitative evaluation threshold of the model’s primary topographic criterion, and then, by removing this criterion altogether. It is worth noting that the necessary information, including climatic, topographic, soil and other types, was compiled by national and local organisations in Iran for the research. The improved Boolean technique (with [Formula: see text]) outperformed the Iranian Ecological Model (with [Formula: see text]), while the revised method using geometric mean assessment and calibration (with [Formula: see text]) outperformed the other methods tested. Furthermore, when all of the forestry capacity maps were compared, conservational forestry map demonstrated a higher capability after removing the topographic criterion in the region (with [Formula: see text] for calibration technique), indicating conservational forestry’s potential in Jahrom County. Overall, because of its simplicity and excellent precision, this study may be utilised as a fundamental framework to evaluate ecological capability for other locations with similar conditions, and this model can help users and administrations undertake executive initiatives.
Coupled Electrochemical-Thermal-Mechanical Modeling and Simulation of Lithium-Ion Batteries
Authors: Luo Pengfei , Li Peichao , Ma Dezheng , Wang Keyong , Zhang Hengyun
Published: October 2022

In this paper, a generalized pseudo three-dimensional (P3D) electrochemical-thermal-mechanical coupling (ETM) model is proposed to describe the multiphysics coupling behavior during the discharge of lithium-ion battery (LIB). The proposed model is established and simulated by using COMSOL Multiphysics. In particular, the influence of external loads on the LIB is investigated via the stress field where the particle scale is coupled with the representative volume element (RVE) scale. Moreover, dynamic parameters dependent on the temperature and the lithium concentration are introduced to enable the proposed model more physically realistic. We validate the model by comparing the numerical results with experimental data available in the literature. In addition, we find that the lithium concentration gradient is reduced by the stress effect inside the active particles. Then, we show the distributions of stress and lithium concentration in the electrodes during the discharge process. Finally, the effect of external loads on the electrochemical process is investigated. It indicates that the electrochemical reaction is promoted. The results are of benefit to obtain an in-depth understanding of the stress mechanism, the lithium transport mechanism, and the synergistic mechanism among the multiphysics fields during the operation of LIBs.
The bank robbery analogy as a first approach for understanding basic concepts of synthesis, transport, and mechanism of action of hormones
Authors: Cardinali Camila A. E. F. , Martins Yandara A. , Prates Rodrigo Pereira , de Araújo Emmanuel Veríssimo , Costa Viana Felipe José , de Sousa Maria Eleticia , Bombardi Eduardo da Cunha , Nunes Maria Tereza
Published: October 2022

Two endocrine bank robbery crews are being searched by the police. As an endocrine system student, you have been summoned to help the police solve the robberies.
Explaining variation in sweat sodium concentration: effect of individual characteristics and exercise, environmental, and dietary factors
Authors: Baker Lindsay B. , De Chavez Peter John D. , Nuccio Ryan P. , Brown Shyretha D. , King Michelle A. , Sopeña Bridget C. , Barnes Kelly A.
Published: October 2022

This comprehensive analysis of a large, diverse data set contributes to our overall understanding of the factors that influence whole body sweat [Na+]. The main finding was that energy expenditure was directly associated with whole body sweat [Na+], potentially via the relation between energy expenditure and whole body sweating rate (WBSR). Warmer months (proxy for heat acclimatization) were associated with lower whole body sweat [Na+]. Exercise mode, air temperature, and sex may also have small effects, but other variables (age group, race/ethnicity, fluid balance, sodium intake, relative V̇o2max) had no association with whole body sweat [Na+]. Taken together, the models explained 17%–23% of the variation in whole body sweat [Na+].
Formulation and Optimization of Complementary Food Based on Its Nutritional and Antinutritional Analysis
Authors: Aynalem Elsabet Getachew , Duraisamy Ramesh
Published: October 2022

This study focuses on formulating and optimizing complementary foods using oat, yellow maize, chickpea, avocado pulp powder, and sugarcane Jaggery to obtain nutritious infant food. Different proportions of the composite food were optimized using Minitab v.19 software upon mixture design by keeping the constant amount of Jaggery (10%). The formulated composite foods had a better proximate composition, minerals, vitamins, and lower amounts of antinutrients. Most attributes have shown significant differences (

p
<
0.05

) among those formulations. The better-optimized formulation is selected from nutritional and antinutritional values through overlaid contour design. The study concludes the optimal complementary food composition ratio: oat (40 g), chickpea (25.81 g), yellow maize (13.78 g), avocado powder (10.4 g), and Jaggery (10 g). Thus, the proposed formulated product becomes nutritious complementary food that may help children’s and medium-age hold communities.
Multi-Task Assignment Method of the Cloud Computing Platform Based on Artificial Intelligence
Authors: Zhang Yongchang , Geng Panpan
Published: October 2022

To realize load balancing of cloud computing platforms in big data processing, the method of finding the optimal load balancing physical host in the algorithm cycle is adopted at present. This optimal load balancing strategy that overly focuses on the current deployment problem has certain limitations. It will make the system less efficient and the user’s waiting time unnecessarily prolonged. This paper proposes a task assignment method for long-term resource load balancing of cloud platforms based on artificial intelligence and big data (TABAI). The maximum posterior probability for each physical host is calculated using Bayesian theory. Euler’s formula is used to calculate the similarity between the host with the largest posterior probability and other hosts as a threshold. The hosts are classified according to the threshold to determine the optimal cluster and then form the final set of candidate physical hosts. It improves the resource utilization and external service capability of the cloud platform by combining cluster analysis with Bayes’ theorem to achieve global load balancing in the time dimension. The experimental results show that: TABAI has a smaller processing time than the traditional load balancing multi-task assignment method. When the time is >600 s, the standard deviation of TABAI decreases to a greater extent, and it has stronger external service capabilities.
A Hybrid Fuzzy AHP/VIKOR Approach to Funding Strategy Selection for Advanced Prosthetic and Orthotic Medical Devices in Low-Income Countries: A Case of Pakistan
Authors: Ahmed Irfan , Feng Bo , Abdul Daud , Feng Junwen
Published: October 2022

In the context of advanced prosthetic and orthotic medical devices, funding is a major challenge, especially in low-income countries. This research aims to investigate the best funding solution for such medical devices to offer disabled people a better quality of life and improve their health and economic situation. This is the first time such methods are being used in a study based on related research involving a fuzzy analytic hierarchy process (FAHP)/VIekriterijumsko KOmpromisno Rangiranje (VIKOR) model to find the best funding source. A survey questionnaire created by the author and completed by Pakistan subject experts was used to analyze data via a weightage value ranking system as an assessment tool. Prioritization of funding alternatives was based on main criteria and subcriteria. Limitations include sample number of study participants, amount of data collected, number of models used, and time constraints. Potential funding sources were ranked based on a VIKOR weightage value model using a hybrid decision-making process that showed results as “private insurance” having a weightage value of (0.1956) as being the best funding source since they are having the minimum weightage and then next from best to least they were “need-based” with a weightage value of (0.2510), “self-pay” with a weightage value of (0.7970), and finally “government-based” having a weightage value of (0.9636). Implications of this study conclude that the proposed model efficiently finds the best funding sources for advanced prosthetic and orthotic (P&O) medical devices in low-income countries. Executing this model in low-income countries such as Pakistan can help solve P&O medical device coverage challenges and offer disabled people better opportunities to work and contribute to their quality of life and economy.
Modeling and Analysis of MHD Oscillatory Flows of Generalized Burgers’ Fluid in a Porous Medium Using Fourier Transform
Authors: Hussain Mazhar , Qayyum Mubashir , Afzal Sidra
Published: October 2022

In this article, exact solutions of unsteady oscillatory generalized Burgers’ fluid are proposed for three different cases using Fourier transform approach. The fluid is electrically conducting under the influence of uniform transverse magnetic field and passing through the porous medium. MHD flows are induced by imposed periodic pressure gradients with smaller oscillations. Closed form solutions are obtained using Fourier sine transform, and several existing results are recovered as limiting cases. Furthermore, effects of different fluid parameters on the velocity profile are studied graphically. Analysis reveals that magnetic field and porosity parameter increases the velocity profile in case of Oldroyd‐B and generalized Burgers’ fluid. It is also observed that magnetic field has more prominent effect on Burgers’ fluid as compared to Oldroyd‐B fluid, while porosity parameter showed noticeable effect on Oldroyd‐B fluid as compared to Burgers’ fluid.
Research on Financial Cost Accounting and Control of Small- and Medium-Sized Enterprises under the Background of Data Mining
Authors: Wang Wenyan
Published: October 2022

In the time of data blast and the ascent of the Web, the dramatic development of information and the data needs of small- and medium-sized endeavors affect the customary expense of the executives. Instructions to all the more likely mine viable data in information to give effective ways and technique merits considering. As the center innovation of handling enormous information, information mining can deal with a lot of mind-boggling information effectively. Accordingly, this paper talks about the cycle and technique for applying information mining at the expense of the executives of small- and medium-sized endeavors, to work on the seriousness of small- and medium-sized undertakings. This examination depends on the exploration and examination of the monetary information of small- and medium-sized ventures, joined with information mining innovation, extricates and uses the immense monetary information produced in the day-to-day administration cycle of the monetary division of the small- and medium-sized undertakings, plans and executes an information mining-based monetary information examination of small- and medium-sized endeavors framework. Joined with programming plan thoughts, through fundamental interest exploration and examination and many benefits of the ongoing B/S design, it was chosen to utilize the Java programming language, MyEclipse11 programming apparatus, Microsoft SQL Server 2008 data set administration instrument, J2EE advancement stage, and the exemplary Apriori in information mining. Mining techniques, for example, affiliation rules, bunching calculations, and choice tree calculations, have completely dissected the monetary information of small- and medium-sized undertakings, naturally and dependably give monetary administration branches of small- and medium-sized endeavors and ranking directors of small- and medium-sized ventures with helpful monetary data, and can help small- and medium-sized endeavors. Business pioneers pursue speedy choices. The planned and executed monetary examination framework in light of information mining incorporates the fundamental elements of SME monetary administration, resource stock administration, resource designation of the board, resource deterioration and discount, resource information upkeep of the executives, and so on. Small- and medium-sized undertakings’ monetary administration framework is a mix of information mining innovation, programming innovation, and small- and medium-sized monetary administration. The effective, solid, and helpful way has further developed the center seriousness of small- and medium-sized undertakings partially and accomplished a definitive objective of the framework plan.
Research on Operation and Maintenance Route Planning of Offshore Wind Farm Based on Multiagent
Authors: Yu Mei , Sheng Yuyang , Sun Hang , Zheng Yuelin , Li Hongyang , Yang Wen
Published: October 2022

Recently, the ant colony algorithm has been widely used in the field of path planning, which is a key technology required for ship operations in offshore wind farms to improve navigation efficiency and power generation. However, the ant colony algorithm has the defects of a long search time and stagnation in the early stage of the operation and maintenance path planning of offshore wind farms, and it easily falls into the problem of local optima; furthermore, the ant colony algorithm uses incremental construction to build a complete itinerary path, it takes a lot of time to search the path, and only the suboptimal solution is obtained. To address the above problems, in this paper, we propose a multi-agent-based operation and maintenance model for offshore wind farms. Specifically, the introduction of the heuristic factor can optimize the local optimal solution and make the ant colony algorithm clearer when searching for the target. Based on this, increasing the pheromone adjustment factor can eliminate the invalid path from searching and select a high-quality path. In addition, by integrating the genetic algorithm, it is possible to select, cross, and mutate to simulate the natural evolution process to search for the optimal solution, reduce the similarity of the paths constructed by the ant colony, reduce the probability of algorithm stagnation, improve the convergence speed, and improve the time efficiency and solution accuracy of the algorithm. Simulation experiments on a series of benchmark datasets show that the proposed GA-PACO algorithm achieves better performance in global search and path planning than the existing three algorithms.
[Retracted] The Connection between High Myopia Patients and MiR‐708a or MiR‐148 Expression Levels in Aqueous Studies of Visual Acuity
Authors: Shen Jiang , Lou Hong , Yu Qihua , Yao Hongyan , Yuan Jianshu
Published: October 2022

Myopia goes far beyond the inconvenience it brings. It is a prevailing and vision‐threatening eye disease, especially in Asia. Aberrantly expressed miR‐708a and miR‐148 are critical for accurate diagnosis, good prognosis, and precise response prediction of myopia. In this paper, we aim to examine the potential contributions of miR‐708a, miR‐148a, and PAX6 to high myopia (HM). First, aqueous samples were taken from 25 exclusively HM eyes and 25 exclusively cataract eyes. For next‐generation sequencing and bioinformatics analysis, RNA from sample 30one was used. Twenty more samples were used for RT‐qPCR. 341 miRNAs in total were found in HM eyes; 249 mature miRNAs and 17 new miRNAs showed differential expression. The expression of hsa‐miR‐127‐3p, hsa‐let‐7i‐5p, and hsa‐miR‐98‐5p was identified using RT‐qPCR. MiR‐708a and miR‐148, which may be linked to the development of myopia and serve as possible biomarkers, are notably highly expressed in atrial tissues of HM patients. Our findings may help deepen the understanding of the mechanisms behind the high expression of miR‐708a and miR‐148 in atrial tissues of patients with HM.
[Retracted] Ultrasonic Imaging of Cardiovascular Disease Based on Image Processor Analysis of Hard Plaque Characteristics
Authors: Wang Chunxia , Ren Yufeng , Li Jing
Published: October 2022

Cardiovascular disease detection and analysis using ultrasonic imaging expels errors in manual clinical trials with precise outcomes. It requires a combination of smart computing systems and intelligent image processors. The disease characteristics are analyzed based on the configuration and precise tuning of the processing device. In this article, a characteristic extraction technique (CET) using knowledge learning (KL) is introduced to improve the analysis precision. The proposed method requires optimal selection of disease features and trained similar datasets for improving the characteristic extraction. The disease attributes and accuracy are identified using the standard knowledge update. The image and data features are segmented using the variable processor configuration to prevent false rates. The false rates due to unidentifiable plaque characteristics result in weak knowledge updates. Therefore, the segmentation and data extraction are unanimously performed to prevent feature misleads. The knowledge base is updated using the extracted and identified plaque characteristics for consecutive image analysis. The processor configurations are manageable using the updated knowledge and characteristics to improve precision. The proposed method is verified using precision, characteristic update, training rate, extraction ratio, and time factor.
De Novo Transcriptome Dataset Generation of the Swamp Buffalo Brain and Non‐Brain Tissues
Authors: Xiaobo Wang , Hassan Faiz-ul , Liu Sheng , Yang Shuli , Ahmad Muhammad , Ahmed Ishtiaq , Huang Kongwei , Iqbal Hafiz M. N. , Yu Hui , Liu Qingyou , Rehman Saif ur
Published: October 2022

The sequenced data availability opened new horizons related to buffalo genetic control of economic traits and genomic diversity. The visceral organs (brain, liver, etc.) significantly involved in energy metabolism, docility, or social interactions. We performed swamp buffalo transcriptomic profiling of 24 different tissues (brain and non‐brain) to identify novel transcripts and analyzed the differentially expressed genes (DEGs) of brain vs. non‐brain tissues with their functional annotation. We obtained 178.57 Gb clean transcriptomic data with GC contents 52.77%, reference genome alignment 95.36%, exonic coverage 88.49%. Totally, 26363 mRNAs transcripts including 5574 novel genes were obtained. Further, 7194 transcripts were detected as DEGs by comparing brain vs. non‐brain tissues group, of which 3,999 were upregulated and 3,195 downregulated. These DEGs were functionally associated with cellular metabolic activities, signal transduction, cytoprotection, and structural and binding activities. The related functional pathways included cancer pathway, PI3k‐Akt signaling, axon guidance, JAK‐STAT signaling, basic cellular metabolism, thermogenesis, and oxidative phosphorylation. Our study provides an in‐depth understanding of swamp buffalo transcriptomic data including DEGs potentially involved in basic cellular activities and development that helped to maintain their working capacity and social interaction with humans, and also, helpful to disclose the genetic architecture of different phenotypic traits and their gene expression regulation.
Biofunctionalized Magnetic Nanoparticles with Multiplex Touchdown PCR for Simultaneous and Rapid Detection/Identification of Campylobacter jejuni and Campylobacter coli
Authors: Wenbap Pattarapong , Rattanarojpong Triwit , Khunrae Pongsak , Luangtongkum Taradon , Erickson Larry E. , Hansen Ryan R. , Tuitemwong Pravate
Published: October 2022

The simple, accurate, and rapid detection of foodborne pathogens is essential for public health. Development of an immunomagnetic separation (IMS) multiplex touchdown PCR (IMS–multiplex TD–PCR) assay for simultaneous detection and distinguishing of C. jejuni and C. coli is reported herein. Polyclonal antibody (pAb) against multiepitope antigen (MEA) was conjugated to ferromagnetic nanoparticles (FMNs) to produce anti‐MEA FMNs. Optimal anti‐MEA FMNs loading yielded 26.7 μg of immunoglobulin G (IgG) molecules per mg of FMNs with an average size of 72 ± 9 nm, corresponding to an 83% rate of pAb conjugation. Anti‐MEA FMNs (20 μg) for IMS captured culturable C. jejuni cells at 3.54 × 102 colony‐forming unit (CFU)/mL in pure culture, while higher amounts (40 and 60 μg) reduced the recovery. The scanning electron microscope (SEM) analysis revealed the attachment of anti‐MEA FMNs to target bacteria, forming aggregated cells and magnetic nanoparticles in ellipse‐like shapes. The subsequent multiplex TD–PCR assay simultaneously detected and distinguished C. jejuni and C. coli at 104 CFU/mL in mixed culture and at 103 CFU/mL for each individual species. Furthermore, the limit of detection (LOD) of the IMS–multiplex TD–PCR assay was 104 CFU/g in spiked chicken breast samples. Specificity was 100% for both C. jejuni and C. coli as none of the amplicons were detected in control samples where Campylobacter was absent. This assay is able to detect and distinguish C. jejuni and C. coli simultaneously and is simple, accurate, and rapid with a time to result of 4 h without an enrichment step, making it a promising approach for rapid and culture‐free detection of Campylobacter in chicken products.
Application and Optimization of Artificial Intelligence Technology in Architectural Design
Authors: Ji Long Hua
Published: October 2022

In the era of rapid development, the demand for architectural design has surged. In this regard, artificial intelligence technology is integrated into architectural design. The application and optimization of artificial intelligence technology in architectural design is studied by comparative analysis method. The research is as follows: (1) there are many shortcomings in architectural design, and the cost control disconnection has the greatest impact through comparison. Simply adding on-site inspections to architectural design can better complete architectural design. (2) For the application of artificial intelligence in architectural design, through the

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performance index, it is concluded that neural network technology is the most useful for architectural design, and its accuracy is also the highest. After the application of neural network technology, all indicators of architectural design are there is a big improvement. (3) Comparing several optimization methods in terms of optimization, it is found that the optimization effect of focusing on design diversity through neural network is the best.
In Vitro Antibacterial Activity and in Silico Analysis of the Bioactivity of Major Compounds Obtained from the Essential Oil of Virola surinamensis Warb (Myristicaceae)
Authors: Almeida Lorena Queiroz , do Nascimento Lidiane Diniz , da Costa Fernando Augusto Miranda , da Costa Kauê Santana , Andrade Eloisa Helena de Aguiar
Published: October 2022

Essential oils are well known for their antimicrobial activity and they are used as an effective food preservative. Virola is one of the five genera of Myristicaceae and this genus is native to the American continent, especially in neotropical regions. The largest number of species of this genus is found in the Amazon region and the most important species include Virola surinamensis Warb. and Virola sebifera Aubl. In the present study, we describe the chemical composition of the essential oil of the V. surinamensis obtained at two different periods of the day in two seasons (rainy and dry), as well as their antimicrobial activity against pathogenic bacterial strains of Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus aureus. In addition, we investigated, using in silico tools, the antimicrobial activity of the major chemical compounds present in the essential oil of V. surinamensis. The samples collected at different seasons and times showed a similar chemical profile, characterized by the major constituents α-pinene (>33%) and β-pinene (>13%). The essential oil of V. surinamensis showed an interesting antibacterial activity, exhibiting low inhibitory concentrations against the tested bacterial species. The computational investigation indicated that limonene, myrcene, and β-pinene could be related to the antibacterial activity against the tested pathogenic bacterial strains. Our results shed light on the possible constituents of essential oil that could be related to its activity against bacterial species and might be useful for further experimental tests that aim to discover new potential antibacterial agents for food preservation.
[Retracted] Beyond the Psychopathological Approach to Study the Relationship between Body Dissatisfaction and Suicide: A Moderate and Mediated Analysis
Authors: Jiang Wei
Published: October 2022

This paper provides a comprehensive review of the literature to date on body dissatisfaction and suicide. A moderate and mediated regression analysis suggests that the relationship between these two variables is mediated by depression, anxiety, impulse control, self‐esteem, and hopelessness. The relationship is not moderated by gender, ethnicity, or socioeconomic status. The implications for mental health practitioners are discussed in relation to management strategies for body dissatisfaction and suicide risk. Another finding showed that psychological distress had a significant effect on performance achievement and served as a mediating variable for the effect of social justice on performance achievement. This study only focused on the effect of psychological distress on the performance achievement of human resources in the context of Islamic microfinance institutions. Besides, in explaining the model, this study only focused on one point of view of the grand theory, i.e., social exchange theory. This study provided information on alternative strategies in managing and minimizing the risks of psychological distress to improve performance achievement in Islamic microfinance institutions. Apart from that, this study also provided an overview of how to manage social exchange relationships in the context of an organization, so they could be well‐maintained. This study examined the effect of psychological distress on the performance achievement of human resources in the context of Islamic microfinance institutions. This study also specifically examined the role of formal justice and social justice as an antecedent of psychological distress. Eventually, this study used the perspective of social exchange theory for the first time in explaining the psychological distress model on the performance achievement of human resources.
Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach
Authors: Kavimani V. , Gopal P. M. , Sivamaran V. , Anand Babu K.
Published: October 2022

In this research, friction stir processing (FSP) is utilized to develop the graphene-boron nitride-reinforced hybrid magnesium surface composite with varying volume percentages of reinforcements. A Taguchi-coupled Entropy-COPRAS approach is adopted to understand the influence of control factors of wire electrical discharge machining on the developed magnesium surface composite. An optimal combination of machining factors to attain maximum material removal rate (MRR) along with minimal kerf width and surface roughness is to be finalized. The Taguchi method is utilized for planning the experiments with three levels and four factors, namely, reinforcement volume %, pulse off time, wire feed rate, and pulse on time. ANOVA results show that pulse on time and reinforcement volume % act as the most significant factors for output responses. Using the Entropy-COPRAS approach, an optimal combination for output response was found for a maximum MRR of 16.20 mm3/min; minimal surface roughness of 3.86 μm; and 0.29 μm of kerf width.
Paeoniflorin Protects H9c2 Cardiomyocytes against Hypoxia/Reoxygenation Induced Injury via Regulating the AMPK/Nrf2 Signaling Pathway
Authors: Yu Wen , Sun Huang , Tan Yang , Zhang Wei
Published: October 2022

Myocardial ischemia/reperfusion (MIR) injury contributes to the exacerbation of heart disease by causing cardiac arrhythmias, myocardial infarction, and even sudden death. Studies have found that paeoniflorin (PF) has a protective effect on coronary artery disease (CAD). However, the mechanism of PF in MIR has not been fully investigated. The purpose of this study was to investigate the functional role of PF in H9c2 cells subjected to hypoxia/reoxygenation (H/R). Here, PF treatment enhanced cell viability in H/R-stimulated H9c2 cells. In H9c2 cells, PF treatment reduced the formation of reactive oxygen species (ROS) induced by H/R. In H/R-stimulated H9c2 cells, PF also increased the activity of antioxidant enzymes such as superoxide dismutase and glutathione peroxidase. Furthermore, PF protected H9c2 cells against H/R-induced apoptosis, as demonstrated by increased Bcl-2 expression, decreased Bax expression, and decreased caspase-3 activity. Furthermore, PF increased the levels of p-AMPK and nuclear Nrf2 expression in response to H/R stimulation. AMPK inhibition, on the other hand, abolished the PF-mediated increase in Nrf2 signaling and the cardiac-protective effect in H9c2 cells exposed to H/R. These data suggest that PF protected H9c2 cells against H/R-induced oxidative stress and apoptosis through modulating the AMPK/Nrf2 signaling pathway. Our findings support the therapeutic potential of PF in myocardial I/R damage.
Practical Privacy Preserving-Aided Disease Diagnosis with Multiclass SVM in an Outsourced Environment
Authors: Zhao Ruoli , Xie Yong , Jia Xingxing , Wang Hongyuan , Kumar Neeraj
Published: October 2022

With the rapid development of cloud computing and machine learning, using outsourced stored data and machine learning model for training and online-aided disease diagnosis has a great application prospect. However, training and diagnosis in an outsourced environment will cause serious challenges to the privacy of data. At present, many scholars have proposed privacy preserving machine learning schemes and made a lot of progress, but there are still great challenges in security and low client load. In this paper, we propose a complete privacy preserving outsourced multiclass SVM training and aided disease diagnosis scheme. We design some efficient basic operation algorithms for encrypted data. Then, we design an efficient and privacy preserving SVM model training protocol using the basic operation algorithms. We propose a secure maximum finding algorithm and secure comparison algorithm. Then, we design an efficient online-aided disease diagnosis scheme based on the BFV cryptosystem and blinding technique. Detailed security analysis proves that our scheme can protect the privacy of each participant. The experimental results illustrate that our proposed scheme significantly reduces the computation overhead compared with the previous similar works. Our proposed scheme completes most of the operations of aided disease diagnosis by the cloud servers and the client only needs to complete a small amount of encryption and decryption operations. The overall computation overhead is 0.175 s, and the efficiency of online aided disease diagnosis is improved by 85.4%. At the same time, our proposed scheme provides multiclass diagnosis results, which can better assist doctors in their treatment.