bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases
Authors: Chen Ming , Zhang Yiliang , Adams Taylor , Ji Dingjue , Jiang Wei , Wain Louise V , Cho Michael , Kaminski Naftali , Zhao Hongyu
Published: October 2022

Background

Although genome-wide association studies (GWAS) have identified many genomic regions associated with idiopathic pulmonary fibrosis (IPF), the causal genes and functions remain largely unknown. Many single-cell expression data have become available for IPF, and there is increasing evidence suggesting a shared genetic basis between IPF and other diseases.

Methods

We conducted integrative analyses to improve the power of GWAS. First, we calculated global and local genetic correlations to identify IPF genetically associated traits and local regions. Then, we prioritised candidate genes contributing to local genetic correlation. Second, we performed transcriptome-wide association analysis (TWAS) of 44 tissues to identify candidate genes whose genetically predicted expression level is associated with IPF. To replicate our findings and investigate the regulatory role of the transcription factors (TF) in identified candidate genes, we first conducted the heritability enrichment analysis in TF binding sites. Then, we examined the enrichment of the TF target genes in cell-type-specific differentially expressed genes (DEGs) identified from single-cell expression data of IPF and healthy lung samples.

Findings

We identified 12 candidate genes across 13 genomic regions using local genetic correlation, including thePOT1locus (p value=0.00041), which contained variants with protective effects on lung cancer but increasing IPF risk. We identified another 13 novel genes using TWAS. Two TFs,MAFKandSMAD2, showed significant enrichment in both partitioned heritability and cell-type-specific DEGs.

Interpretation

Our integrative analysis identified new genes for IPF susceptibility and expanded the understanding of the complex genetic architecture and disease mechanism of IPF.
Identification of iron-responsive genes in Proteus vulgaris
Authors: Lu Yongzhong , Zhao Junkui , Yan Qingdan , Zhao Yuqi , Wang Fang
Published: October 2022

Iron is essential for almost all bacteria, and iron homeostasis is precisely controlled by the ferric uptake regulator (Fur). The Fur regulons have been well characterized in some model bacteria, yet little is known in the common opportunistic pathogen Proteus vulgaris. In this study, Fur regulon and iron-responsive genes in P. vulgaris were mainly defined by in silico and proteomic analyses. The results showed that about 250 potential Fur-regulated operons including 14 transcriptional factors were predicted, while 559 proteins exhibited differential expression in response to iron deficiency, not all being directly regulated by Fur, such as transcriptional factors lexA, recA, narL, and arcA. Collectively, these results demonstrated that Fur functioned as a global regulatory protein to repress or activate expression of a large repertoire of genes in P. vulgaris; besides, not all the iron-responsive genes were directly regulated by Fur, whereas indirectly regulated through other mechanisms such as additional transcriptional regulatory proteins.
Twisted convolution quantum information channels, one-parameter semigroups and their generators
Authors: Parthasarathy K. R.
Published: October 2022

Using the tool of quantum characteristic functions of [Formula: see text]-mode states in the boson Fock space [Formula: see text] we construct a semigroup of quantum information channels. This leads to a special class of one-parameter semigroups of such channels. These semigroups are concrete but their generators have unbounded operator coefficients. These one-parameter semigroups are also quantum dynamical semigroups and the form of the generators involves additional features which do not appear in the standard Gorini-Kossakawski-Sudarshan-Lindbald (GKSL) form. A heuristic discussion of the form of these generators is included. In the wake of this analysis many open problems arise naturally.
2 in 1 Humidifier + Air Purifier Fuzzy Control System
Authors: Khokhar Salah-Ud-Din , Peng QinKe , Noor Muhammad Yasir
Published: October 2022

In this modern era, smart home appliance control has quickly penetrated the market. This study explains the design and simulation results of a 2-in-1 humidifier + air purifier control system based on fuzzy rules. The rule block obtains three hard shell input values from air quality, humidity, and water level sensor, divides the sermon space into sections of each individual section with two (2) fuzzy variables, activates rules, and extends the singleton output value to match the output variables individually. Two defuzzifiers are arranged to adjust two actuators: the speed of the humidifier and the speed of the air purifier. The results obtained by MATLAB simulation are consistent with the proposed model, and accurate values are obtained. This study will expand the capabilities of fuzzy logic-based control systems in the process of systematization and potential returns. Using MATLAB Simulink R2016b, the design goals are achieved.
On λ2-statistical convergence of complex uncertain sequences
Authors: Das Birojit , Chandra Tripathy Binod
Published: October 2022

The main aim of this paper is to introduce the notion of [Formula: see text]-statistical convergence in a given uncertainty space by considering sequences of complex uncertain variable. Also, we study the interrelationship between [Formula: see text]-statistical convergence with strongly [Formula: see text]-summable sequence in the same environment. Further, we extend the study by initiating the notions of [Formula: see text]-statistically Cauchy complex uncertain sequence.
Theoretical Prediction of Structural Stability, Electronic, Elastic, and Magnetic Properties of the New Half Metallic Half-Heusler XSrC (X=Li and Na) Alloys
Authors: Marbouh N. , Khelfaoui F. , Abada A. , Belabbas M. , Bentayeb A.
Published: October 2022

In this paper, structural, elastic, electronic and magnetic properties of half-Heusler XSrC ([Formula: see text] and Na) compounds have been investigated utilizing full potential linearized augmented plane wave (FP-LAPW) method based on density functional theory (DFT). For exchange-correlation potentials, the generalized gradient approximation (GGA) has been used. The calculated cohesive and formation energy values showed that these compounds can be experimentally synthesized. The elastic properties were analyzed in detail and reveal that LiSrC and NaSrC compounds are mechanically stable. The spin-polarized band structure and density of states illustrate that LisrC and NaSrC alloys have a half metallic character. The total magnetic moment is 1[Formula: see text][Formula: see text] per formula unit that confirms the half metallic behavior and follows the Slater-Pauling rule [Formula: see text]. For half-Heusler XSrC ([Formula: see text] and Na) compounds, there are no available experimental or theoretical studies, our calculations are considered as first predictions.
Dual Preference Distribution Learning for Item Recommendation
Authors: Dong Xue , Song Xuemeng , Zheng Na , Wei Yinwei , Zhao Zhongzhou
Published: October 2022

Recommender systems can automatically recommend users with items that they probably like. The goal of them is to model the user-item interaction by effectively representing the users and items. Existing methods have primarily learned the user’s preferences and item’s features with vectorized embeddings, and modeled the user’s general preferences to items by the interaction of them. In fact, users have their specific preferences to item attributes and different preferences are usually related. Therefore, exploring the fine-grained preferences as well as modeling the relationships among user’s different preferences could improve the recommendation performance. Toward this end, we propose a
dual preference distribution learning framework (DUPLE)
, which aims to jointly learn a general preference distribution and a specific preference distribution for a given user, where the former corresponds to the user’s general preference to items and the latter refers to the user’s specific preference to item attributes. Notably, the mean vector of each Gaussian distribution can capture the user’s preferences, and the covariance matrix can learn their relationship. Moreover, we can summarize a preferred attribute profile for each user, depicting his/her preferred item attributes. We then can provide the explanation for each recommended item by checking the overlap between its attributes and the user’s preferred attribute profile. Extensive quantitative and qualitative experiments on six public datasets demonstrate the effectiveness and explainability of the DUPLE method.
A Deep Learning Framework for Solving Stress-based Partial Differential Equations in Electromigration Analysis
Authors: Hou Tianshu , Zhen Peining , Ji Zhigang , Chen Hai-Bao
Published: October 2022

The electromigration-induced reliability issues (EM) in very large scale integration (VLSI) circuits have attracted continuous attention due to technology scaling. Traditional EM methods lead to inaccurate results incompatible with the advanced technology nodes. In this article, we propose a learning-based model by enforcing physical constraints of EM kinetics to solve the EM reliability problem. The method aims at solving stress-based partial differential equations (PDEs) to obtain the hydrostatic stress evolution on interconnect trees during the void nucleation phase, considering varying atom diffusivity on each segment, which is one of the EM random characteristics. The approach proposes a crafted neural network-based framework customized for the EM phenomenon and provides mesh-free solutions benefiting from the employment of automatic differentiation (AD). Experimental results obtained by the proposed model are compared with solutions obtained by competing methods, showing satisfactory accuracy and computational savings.
A Survey on Mapping Semi-Structured Data and Graph Data to Relational Data
Authors: Yuan Gongsheng , Lu Jiaheng , Yan Zhengtong , Wu Sai
Published: October 2022

The data produced by various services should be stored and managed in an appropriate format for gaining valuable knowledge conveniently. This leads to the emergence of various data models, including relational, semi-structured, and graph models, and so on. Considering the fact that the mature relational databases established on relational data models are still predominant in today’s market, it has fueled interest in storing and processing semi-structured data and graph data in relational databases so that mature and powerful relational databases’ capabilities can all be applied to these various data. In this survey, we review existing methods on mapping semi-structured data and graph data into relational tables, analyze their major features, and give a detailed classification of those methods. We also summarize the merits and demerits of each method, introduce open research challenges, and present future research directions. With this comprehensive investigation of existing methods and open problems, we hope this survey can motivate new mapping approaches through drawing lessons from each model’s mapping strategies, as well as a new research topic - mapping multi-model data into relational tables.
An AHP-TOPSIS Approach for Optimizing the Mechanical Performance of Natural Fiber-Based Green Composites
Authors: Shankar A. N. , Jagota Vishal , Jamadon Nashrah Hani , Raffik R. , Suneetha V. Lakshmi , Samori Issah Abubakari , Karnan Lokanayaki
Published: October 2022

Natural fibers have emerged as an effective replacement for synthetic fibers in the fabrication of green composites to be used for producing various components in automotive, aerospace, and other applications. In this proposed study, the mechanical properties of banana and coir fiber-based green composites have been optimized by using a hybrid AHP-TOPSIS approach. Corn starch along with glycerol has been used as the matrix material for fabricating the green composites. The mechanical properties such as tensile strength, flexural strength, and impact strength of the developed green composite have been optimized with a focus on the utilization of this composite in automotive and aerospace applications. Three different weight percentages (0%, 5%, and 10%) of banana and coir fibers was considered for the fabrication of green composites. The constituents of the green composite have been taken as the input variables whereas the mechanical properties of the green composite are considered as the output variables for designing the experiment. The design of the experiment consisted of nine different combinations of input and output variables. Results of the study revealed that 5 wt.% of banana fiber, 10 wt.% of coir fiber, and 85 wt.% of corn starch provide the optimum mechanical performance of the developed green composites.
Experimental Study on Dynamic Compression Mechanics of Sandstone after Coupled Alkali‐Chemical‐Dynamic Interaction
Authors: Ping Qi , Wang Chen , Gao Qi , Shen Kaifan , Wu Yulin , Wang Shuo , Li Xiangyang
Published: October 2022

For the purpose of analyzing the effect of the alkaline solutions on the mechanical property of sandstone impact compression, the sandstone specimens of coal mine roadway were corroded in NaOH solution with pH 7 (neutral pure water solution) and pH = 8, 9, 10, 11, and 12 for 28 d, followed by dynamic compression tests using a separated Hopkinson compression bar test device, and the microstructural changes of the specimens were measured by SEM electron microscope scanning equipment. The studies indicate that the degree of damage to the dynamic properties of a sandstone specimen is tightly correlated with the variation of the pH value of the corrosion solution. The corrosion deterioration effect of the strong alkaline solution is most obvious, followed by the weak alkaline solution, and the mechanical properties of the sandstone are relatively stable under a neutral solution. The dynamic compressive strength and dynamic modulus of elasticity of specimens decrease as a quadratic and cubic function, respectively, with the rising pH of the solution. The dynamic peak strain and average strain rate tend to increase with the increase in pH, and they are larger than those of the uncorroded specimens. As the pH of the solution rises, the impact damage of the sandstone specimens intensifies, and the average particle size of the fragments tends to decrease in a quadratic polynomial.
Internet of Things-Based Home Education Interactive System and Parent-Teacher Relationship Cultivation
Authors: Sun Xiaohan , Guo Haiyan , Zhao Lin
Published: October 2022

In today’s society, young parents have no time to take care of their children under the pressure of life and leave their children to their own parents, resulting in less and less interaction between parents and children. At present, the main problem with family education is that the education method is unscientific. The family education interactive system refers to building a platform for parents and children through the Internet to solve communication problems, improve parents’ educational concepts, and improve the overall level of family education. The level of tacit understanding between parents and teachers has a profound impact on children’s learning. Parents and teachers keep the same educational ideas and form a joint force, which makes students’ subjective learning willingness stronger and effectively avoids negative psychology such as confusion and weariness. Compared with the traditional education model, the new education model is more information-based and digital. The Internet of Things is the product of the expansion and extension of the Internet, which refers to the connection of various information-sensing devices with the Internet to form a broader network system. This study takes parents, students, and teachers as the research objects, mainly applies the embedded system technology in the Internet of Things, and aims to solve some problems in family education and poor communication between parents and teachers. This not only improves the original interactive system of family education but also effectively improves the communication efficiency between parents and teachers by using the Internet of Things technology. Overall satisfaction with the improved home education system increased by 19 percent, and communication efficiency between parents and teachers increased by 8 percent. It has practical reference significance for the research on the Internet of Things in family education. At the same time, the structural family therapy model is used to expand the family’s construction of the problem, obtain a family interaction model to maintain symptoms, and explore the influence of family members’ past on the present and the related changes in family members. In the process of implementation, explore and evaluate the structure of the family, create a situation that changes the family structure, and transform the family system.
Analysis and Evaluation of Engineering Job Demand Based on Big Data Technology
Authors: Wang Chun
Published: October 2022

This paper carried out an analysis and evaluation research of engineering job demand based on big data technology. By collecting the semistructured or unstructured recruitment information of engineering positions on the recruitment website, text mining technology is used to mine the knowledge model hidden in the market by building a relatively perfect Dictionary of professional skills of engineering positions. Based on the large sample data, a comprehensive, multidimensional and high-precision postdemand characteristic model is constructed. The model can not only interpret the existing recruitment market and elaborate the specific skill needs of different positions but also predict and analyze the model and estimate the required skills in combination with the specific postresponsibility characteristics, which can not only enable candidates to submit resumes reasonably, Moreover, it provides suggestions for colleges and universities or other relevant employment institutions to have an accurate, comprehensive and in-depth insight into market demand and carry out effective talent training for all units. Through the analysis of the experimental results, it is proved that the established engineering postdemand analysis model is consistent with the actual situation, and has certain explanatory significance for the current economic and social recruitment phenomenon, and the model has reference value.
Sperm Dysfunction in the Testes and Epididymides due to Overweight and Obesity Is Not Caused by Oxidative Stress
Authors: Ruiz-Valderrama Lorena , Posadas-Rodríguez Jaqueline , Bonilla-Jaime Herlinda , Tarragó-Castellanos Maria del Rosario , González-Márquez Humberto , Arrieta-Cruz Isabel , González-Núñez Leticia , Salame-Méndez Arturo , Rodríguez-Tobón Ahiezer , Morales-Méndez José Guadalupe , Arenas-Ríos Edith
Published: October 2022

Obesity is a condition that has been linked to male infertility. The current hypothesis regarding the cause of infertility is that sperm are highly sensitive to reactive oxygen species (ROS) during spermatogenesis in the testes and transit through the epididymides, so the increase in ROS brought on by obesity could cause oxidative stress. The aim of this study was to evaluate whether the activity of the enzymes catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPX) is capable of counteracting oxidative stress in sperm. The male Wistar rat was used as an overweight and obesity model, and analysis of fertility in these groups was carried out including the control group. Serum testosterone levels were determined, and the scrotal fat, testes, and epididymides were extracted. The epididymides were separated ini0 3 principal parts (caput, corpus, and cauda) before evaluating sperm viability, sperm morphology, damage to desoxyribonucleic acid of the sperm, and ROS production. The protein content and specific activity of the three enzymes mentioned above were evaluated. Results showed a gain in body weight and scrotal fat in the overweight and obese groups with decreased parameters for serum testosterone levels and sperm viability and morphology. Fertility was not greatly affected and no DNA integrity damage was found, although ROS in the epididymal sperm increased markedly and Raman spectroscopy showed a disulfide bridge collapse associated with DNA. The specific activities of CAT and GPX increased in the overweight and obesity groups, but those of SOD did not change. The amounts of proteins in the testes and epididymides decreased. These findings confirm that overweight and obesity decrease concentrations of free testosterone and seem to decrease protein content, causing poor sperm quality. Implications. An increase in scrotal fat in these conditions fosters an increase of ROS, but the increase of GPX and CAT activity seems to avoid oxidative stress increase in the sperm without damaging your DNA.
Outage Performance Analysis of CR-NOMA Based on Incremental Relay
Authors: Song Chuanwang , Zhang Haisong , Li Yuming , Zhang Hao , Li Enyu , Hu Keyong
Published: October 2022

Considering the problem of limited spectrum and relay resources, we proposed a scheme using incremental relay protocol to improve the secondary network outage performance. Firstly, a CR-NOMA network system model combined with incremental relay protocol is constructed. The primary network and the secondary network share the same relay for communication. When the user of the secondary network fails to receive information, the node closest to the shared relay is selected as an incremental relay to assist transmission. Secondly, the exact expressions of outage probability and throughput are derived, and the Monte Carlo method is used to verify the results. Based on the outage probability and throughput of the secondary network, the transmission power ratio between primary and secondary networks and the power distribution of shared relay are optimized. Compared with the average power allocation schema, it is proved that the optimized schema has advantages in improving the outage performance and throughput. Through simulation and analysis of outage performance with or without using incremental relay protocol, it is concluded that adding an incremental relay in the shared relay network can reduce the probability of system outage and improve network reliability.
An Assessment of Anticancer Activity (MCF‐7) and Free Radicals Scavenging Potential of Ferula Asafoetida Synthesized AgNPs through In Vitro Analyses
Authors: Thanh Nguyen Chi , Chinnathambi Arunachalam , Alahmadi Tahani Awad , Joshi Deepika , Jhanani G. K. , Haile Adisu
Published: October 2022

Nanomaterials are increasingly being used in pharmaceutical industry to treat a variety of disorders and diseases. Hence, the aim of this research was to evaluate their antioxidant and anticancer activity of presynthesized and characterized plant‐based AgNPs against ferric, DPPH, H2O2, and ABTS free radicals and MCF‐7 cell line. Interestingly, the antioxidants assay results revealed that the increased concentration (100 μg mL-1) of AgNPs has remarkable antioxidant ability on ferric (78.20%), DPPH (89.61%), H2O2 (82.34%), and ABTS (67.95%) free radicals. These scavenging activities were almost close to the free radicals scavenging ability of vitamin C (ascorbic acid). Similarly, test AgNPs showed considerable cytotoxicity (83.15%) against MCF‐7 cell line, and it was partially comparable with the cytotoxicity activity (91.35%) of positive control (Doxorubicin). These findings indicate that plant‐mediated AgNPs have significant antioxidant and anticancer activity, and thus may be considered for biomedical applications pending the results of some in vivo experiments.
Depletion and Reversal of Hepatocellular Carcinoma Inducing CTL through ER Stress-Dependent PERK-CHOP Signaling Pathway
Authors: Guo Mengnan , Wang Wei , Bai Wen , Bai Zekun , Chen Weixi , Su Yali , Wu Jinghua
Published: October 2022

Aims. In this report, it was investigated that hepatoma cells can cause downregulation of cytotoxic T lymphocyte (CTL) function and tea polyphenols (TPs) can reverse downregulation of CTL function. Methods. The expression of GRP78, PD-1, and TIM-3 was detected by western blotting in CTLL-2 cocultured with Hepa1-6 cells. Moreover, perforin (PRF1) and granzyme B (GzmB) protein levels and ER morphology were examined by ELISA and TEM, respectively. After 4-phenylbutyric acid (4-PBA) or tunicamycin (TM) treatment, programmed cell death protein 1 (PD-1), and mucin domain 3 (TIM-3), PRF1, and GzmB were measured by western blotting and ELISA. After sh-CHOP or GSK2656157 (PERK inhibitor) stimulation, the activation of the PERK-CHOP pathway was detected in CTLL-2 cells. Finally, changes in PD-1, TIM-3, PRF1, and GzmB levels were detected to verify the reversal of CTL depletion by TP. Results. The expression of GRP78, PD-1, and TIM-3 clearly increased, and swelling was observed for the endoplasmic reticulum (ER) in CTLL-2 cells cocultured with hepatoma cells. Concurrently, the levels of PRF1 and GzmB decreased. CTLL-2 depletion was induced after stimulation with TM and differed from 4-PBA stimulation. Treatment with sh-CHOP or GSK2656157 caused a decrease in PD-1 and TIM-3 expression, whereas the expression of PRF1 and GzmB clearly increased. After adding TP, the function of CTLs increased markedly. Conclusion. Hepatoma cells induced the depletion of CTLs through the ER stress PERK-CHOP pathway, and TP reversed this depletion by downregulating ER stress.
Facial Recognition System Based on Genetic Algorithm Improved ROI-KNN Convolutional Neural Network
Authors: Wang Xiao , Li Yan
Published: October 2022

The facial recognition system is an application tool that uses artificial intelligence technology and biometrics technology to analyze and recognize the facial feature information of the human face. It is widely used in various fields, such as attendance and access control management in schools and companies, identity monitoring in stations and stores, facial recognition for fugitive criminals, and facial payment on mobile terminals. However, due to the short development time of the facial recognition system, the facial recognition system has the problem of low recognition accuracy when the recognized object is not cooperative. Although some scholars have proposed the region of interest (ROI)-K nearest neighbor algorithm (KNN) convolutional neural network theory by using the ROI and KNN and applied it to face recognition, the facial recognition system based on ROI-KNN convolutional neural network did not solve the problems of insufficient facial recognition accuracy and insufficient security. Under the conditions of insufficient illumination, excessive expression change, occlusion, high similarity of different individuals, and dynamic recognition, the recognition effect of the facial recognition system based on the ROI-KNN convolutional neural network is relatively limited. Therefore, to make the recognition accuracy of the facial recognition system higher and to make the facial recognition system play a greater role in the social and economic fields, this paper used the adaptive quantum genetic algorithm, the improved marker line graph genetic algorithm, and the feature weight value genetic algorithm to study the facial recognition system of the ROI-KNN convolutional neural network. The research results showed that after improving the ROI-KNN convolutional neural network based on the genetic algorithm, the recognition accuracy of the facial recognition system was increased by 4.99%, the recognition speed was increased by 7.46%, and the recognition security was increased by 2.66%.
Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget
Authors: Gong Rui , Zhang Xu
Published: October 2022

At present, many budget companies have realized high-level computerized accounting and have high-speed and advanced database management systems. In order to adapt to the growth of budget entity informatization, the financial department must improve its own financial budget level. Introduce information technology, and develop corresponding financial budget software to better perform its own financial calculation function. This paper explores and analyzes the full collaborative matching algorithm of enabling big data financial budget and builds a financial big data financial budget platform through offline and online data collection. Combined with the matching algorithm and linear regression prediction algorithm in data analysis, the financial data is analyzed in depth. Finally, the PSO-SA algorithm runs 10 rounds on the datasets with matching scales

d
=
10

and 30, respectively. It is found that the fluctuation is large when

d
=
10

and relatively stable when

d
=
30

. When

d
=
10

, the maximum value is 7.2354, and the minimum value is 6.9969. When

d
=
10

, the maximum value is 26.6403, and the minimum value is 23.9599. It can be concluded that when

d
=
0

, PSO-SA can obtain a relatively good matching scheme, but it is easy to fall into a local optimal solution. The superposition effect of “data + computing power + algorithm + scenario” can help enterprises make better decisions. Embed complex analysis into daily management and trading scenarios to build a financial empowerment platform. Make the increasingly complex work more automated and intelligent, and improve financial efficiency.
Drug Resistance Mechanism of Enterobacteriaceae with Decreased Antibiotic Sensitivity
Authors: Rong Fang , Sun Yuanyuan , Li Xiao , Zhang Chenhao
Published: October 2022

To investigate the mechanism of antibiotic resistance in Enterobacteriaceae. Carbapenem Enterobacteriaceae bacteria isolated from a hospital from January 2015 to June 2020 were selected. Drug resistance phenotype test, drug sensitivity test, and conjugation test were used to observe the drug sensitivity results and the titer of acrB antibody. Finally, the data were statistically analyzed. All strains were resistant to ceftazidime, ceftriaxone, ertapenem, and aztreonam. 87.5% of the samples were resistant to piperacillin. Multisite sequence typing showed that 5 carbapenem-resistant Klebsiella pneumoniae belonged to 4 different types. The sequence types of kpn6099 and kpn6617 were the same. In the sensitivity comparison, Escherichia coli J53 was more sensitive to these two antibiotics, minimum inhibitory concentration values were 0.5 and 0.25 μg/ml, respectively. In addition, the sensitivity of E. coli J53 to carbapenems was slightly higher than that of kpn6617. The results showed that the enzyme-linked immunosorbent assay titer of acrB antibody was 1:40,000, and the preparation of acrB antibody was successful. Plasmid-mediated deletion of IMP-1 metallo-β-lactamase binding outer membrane protein is one of the main reasons for the decrease of antibiotic sensitivity.
Thermal Power Plant Turbine Rotor Digital Twin Automation Construction and Monitoring System
Authors: Li Lei , Ma Hanjun , Wei Mingyi , Zhang Xuanbo , Chen Qingxi , Xin Yanqing
Published: October 2022

Based on the digital twin technology, this article investigates the physical rules fusion model of the turbine rotor operation in thermal power plants, establishes the geometric behavior mapping method of the turbine rotor in the virtual scenario of thermal power plants, and develops a real-time data-driven virtual monitoring system of the rotor operation, which realizes the virtual control of the rotor operation process from the physical and geometric levels, respectively. The 3D model created by Creo was imported into ADAMS in x_t format, constraints were added, and model data input and output interfaces were established in ADAMS software to build its dynamics model. The foundation of the joint simulation with the AMESim model is laid. The information fusion technology based on D-S evidence theory, fusing multisensor data and information from other channels, can more accurately and comprehensively understand and describe the diagnostic object, to make correct judgment and decisions on complex fault diagnosis. We propose an integrated modeling method for multiview control scenarios of manufacturing units based on digital twins and finalize the construction of digital twin models of manufacturing units based on the definition of the multiview model collaboration mechanism, which provides model support for the research of digital twin-driven manufacturing unit control technology. For the twin data perception and interaction problem, a unified architecture-standardized communication protocol is established based on OPC UA technology to solve the problem of difficult data perception and interaction caused by the nonuniform communication interface protocol of different devices on the automated production line. The model change is intended to help improve the visualization level of digital production line monitoring and improve the operating efficiency of the turbine rotor. The experimental results show that the application of digital twin to thermal turbine rotor operation monitoring provides a new method for turbine rotor vibration fault diagnosis; D-S evidence theory can fuse information from multiple aspects of the fault, thus improving the probability of fault diagnosis and reducing uncertainty.
The Optimal Integration of Computer Information Technology and Energy Economic Management
Authors: Zhang Ning , Li Zengxin
Published: October 2022

The author proposes a method combining entropy weight method and TOPSIS method with computer information technology in order to save energy with maximum efficiency and improve efficiency. The author constructs the optimal integration of computer information technology and enterprise economic management. Managers use computer information technology to analyze data and problems more accurately and have stronger control ability. The noncooperative game model of gender warfare game and smart pig game are used to simulate negotiation and cooperation in reality, which is conducive to the formulation of cooperation mechanisms and the flexibility of negotiation to promote the realization of regional energy cooperation. Finally, combined with computer information technology, a comprehensive evaluation model of the energy economic system is constructed by using the entropy weight method and the TOPSIS method. The authors used a paired t test for the three evaluation results to examine whether their evaluation results were significantly different. Experimental results show that the correlation coefficient between method 1, method 2, and method 3 are both 0.984, and the correlation coefficient between method 2 and method 3 is 0.974, and the results are all significant. Conclusion. The method can effectively improve the efficiency and effectiveness of energy economy, and the detection results are better.
Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning
Authors: Eltoukhy Mohamed Meselhy , Hosny Khalid M. , Kassem Mohamed A.
Published: October 2022

Pathologists need a lot of clinical experience and time to do the histopathological investigation. AI may play a significant role in supporting pathologists and resulting in more accurate and efficient histopathological diagnoses. Breast cancer is one of the most diagnosed cancers in women worldwide. Breast cancer may be detected and diagnosed using imaging methods such as histopathological images. Since various tissues make up the breast, there is a wide range of textural intensity, making abnormality detection difficult. As a result, there is an urgent need to improve computer-assisted systems (CAD) that can serve as a second opinion for radiologists when they use medical images. A self-training learning method employing deep learning neural network with residual learning is proposed to overcome the issue of needing a large number of labeled images to train deep learning models in breast cancer histopathology image classification. The suggested model is built from scratch and trained.
Growth of a Renormalized Operator as a Probe of Chaos
Authors: Huang Xing , Zhang Binchao
Published: October 2022

We propose that the size of an operator evolved under holographic renormalization group flow shall grow linearly with the scale and interpret this behavior as a manifestation of the saturation of the chaos bound. To test this conjecture, we study the operator growth in two different toy models. The first one is a MERA-like tensor network built from a random unitary circuit with the operator size defined using the integrated out-of-time-ordered correlator (OTOC). The second model is an error-correcting code of perfect tensors, and the operator size is computed using the number of single-site physical operators that realize the logical operator. In both cases, we observe linear growth.
Analysis on Influence Factors of Differential Pressure Detection of Gas Leakage
Authors: Shi Yan , Chang Jiaqi , Wang Yixuan , Yang Liman
Published: October 2022

Pneumatic technology takes compressed gas as the power source, but the leakage of gas in the pipeline due to poor sealing or pipeline rupture affects the accuracy of pneumatic control, the flow of gas transmission, and even the emission of harmful gas. The air tightness of differential pressure method has broad significance in the study of tight leakage because of its simple operation, short detection time, and high precision. Bubbling method, acoustic emission detection method, and direct pressure detection method have the characteristics of difficult operation, environmental sensitivity and low detection accuracy. They are not suitable for effective and high-precision detection of leakage in harsh environment. The air tightness detection method of differential pressure method has the advantages of simple operation, short detection time, and high accuracy. It has extensive significance in the research of air tightness leakage. At present, the focus of differential pressure method is to keep the same charging state of the master tank and the tested tank. However, when the shape of the tested tank is irregular or difficult to copy, the influence of different master tank on differential pressure method leakage detection needs to be considered. In this study, a gas leakage flow calculation model is established. The influence of the inherent parameters of the master tank on the calculation of the pressure difference, temperature difference, and leakage between the two cavities is analyzed in the simulation. Finally, the master tank is set as a quasi-isothermal cavity, and the tested tank is set as 3 L and 5 L air tanks for leakage test. The maximum error of experiment of 3 L tank reaches 39 mL/min at the later stage of measurement, with a detection deviation of 14.4%. The maximum error of experiment of 5 L tank is 412.4 mL/min, with a deviation rate of 28.3%. This method can detect leakage with high precision in harsh environment.
Applicability of On-Site Evaluation of Cervical Cytology Smears Stained with Toluidine Blue to Reduce Unsatisfactory Results
Authors: Tummidi Santosh , Shankaralingappa Arundhathi , Sharmila Vijayan
Published: October 2022

Introduction: Carcinoma of the uterine cervix is a major health problem faced by Indian women. Screening techniques like visual inspection with acetic acid, Lugol’s iodine, Papanicolaou smear, and human papillomavirus DNA testing have been suggested. Pap smear is a simple, safe, cost-effective, and reliable technique used for screening cervical lesions. Rapid on-site evaluation (ROSE) using the 1% aq. toluidine blue staining method has been less studied in cervical cytology. Materials and Methods: Our study was a prospective study done over a period of 2 years. All the cervical cytology smears were reported as per the Bethesda system 2014. Rapid stain using aqueous toluidine blue (1%) and conventional Pap stain was done on the smears received. Results: We evaluated a total of 1,300 cases, with 97.6% satisfactory samples. The spectrum of cases included 96.3% of negative for malignancy cases (including bacterial vaginosis, trichomonas, candida, and atrophic smears), atypical squamous cell of undetermined significance and atypical squamous cells cannot exclude high-grade squamous intraepithelial lesion in 0.5% cases, low-grade squamous intraepithelial lesion and high-grade intraepithelial lesion in 0.3% cases, squamous cell carcinoma in 0.3% cases, and atypical glandular cells/adenocarcinoma in 0.2% cases. Turnaround time was within 48 h in 77% cases. With rapid stain, our unsatisfactory rate was reduced from 12% to approx. 2.4%. Conclusion: ROSE has been attempted on routine FNA cytology samples with success. However, the use of ROSE in cervical cytology has not been attempted to date. Lower unsatisfactory rate is an important indicator for the successful implementation of cervical cancer screening technique.
NEK8-Associated Nephropathies: Do Autosomal Dominant Forms Exist?
Authors: Mehawej Cybel , Chouery Eliane , Ghabril Ramy , Tokajian Sima , Megarbane Andre
Published: October 2022

Introduction: Nephronophthisis (NPHP) is a group of autosomal recessive renal diseases characterized by a reduced ability of the kidneys to concentrate solutes, chronic tubulointerstitial nephritis, and cystic kidney disease. It represents the most common genetic cause of childhood renal failure. To date, around 20 different genes, encoding primary cilia proteins, have been linked to NPHP. These contribute to one-third of cases with NPHP while the majority of patients remain molecularly undiagnosed. Materials and Methods: Whole exome sequencing (WES) was carried out on a 2-year-old Lebanese boy with infantile NPHP characterized by multicystic kidney dysplasia, kidney insufficiency, and enlarged kidneys in addition to chronic anemia. The candidate variant, detected by WES, was then tested in the patient and his parents by Sanger sequencing. Copy number variation (CNV) analysis was subsequently performed in the proband. Results: Our studies enabled the detection of a heterozygous de novo variant in NEK8 (NM_178170: p.Arg45Trp) in the proband. CNV analysis excluded the presence of big deletions or insertions in this gene. Conclusion: Here we report a de novo heterozygous variant in the NEK8 gene in infantile NPHP. This variant was previously detected at a de novo state in a patient presenting with the same clinical features as the proband. This suggests that autosomal dominant forms of NEK8-linked nephropathies may exist. Reporting further patients with NEK8 mutations is essential to confirm these findings and assess whether dominant forms of the disease are restricted to a specific mutational spot or are linked to variants scattered throughout the NEK8 gene.
Comparison of High-Flux, Super High-Flux, Medium Cut-Off Hemodialysis and Online Hemodiafiltration on the Removal of Uremic Toxins
Authors: Belmouaz Mohamed , Goussard Guillaume , Joly Florent , Sibille Audrey , Martin Cecile , Betous Thomas , Thierry Antoine , Bauwens Marc , Bridoux Frank
Published: October 2022

Introduction: Online hemodiafiltration (OL-HDF) and hemodialysis (HD) using high-performance membranes such as adsorptive, medium cut-off (MCO), and super high-flux (SHF) dialyzers have been implemented to enhance the removal of middle molecules (MM). The aim of this study was to compare the efficacy of different dialysis strategies and dialyzers on small solutes and MM reduction ratio (RR) and mass removal. Methods: We performed a prospective study in 8 HD patients. Each patient underwent 9 dialysis sessions: seven sessions on HD using either Theranova 500™, Elisio 21H™, Renak PS-2.0W™, Filtryzer BK-2.1F™, Vie 21X™, TS-2.1UL™ or FDY 210-GW™ dialyzers and two sessions on OL-HDF using Elisio 21H™ or Renak PS-2.0W™ dialyzers. Results: Urea mass removal and RR were similar between all dialysis strategies. The lowest beta2-microglobulin RR was achieved with Filtryzer BK-2.1F™ HD (p < 0.05). Compared to Elisio 21H™ HD, Renak PS-2.0W™ OL-HDF produced higher beta2-microglobulin mass removal (181 ± 46 vs. 317 ± 161 mg, p < 0.05). Theranova 500™ HD, Vie 21X™ HD, FDY 210-GW™ HD, Elisio 21H™ OL-HDF, and Renak PS-2.0W™ OL-HDF induced higher RR for kappa and lambda FLC, as compared to Elisio 21H™ HD and Filtryzer BK-2.1F™ HD (p < 0.05). Renak PS-2.0W™ OL-HDF achieved higher kappa FLC mass removal compared to Elisio 21H™ HD (563 ± 515 vs. 141 ± 47 mg, p < 0.01) and to Renak PS-2.0W™ HD (563 ± 515 vs. 153 ± 25 mg, p < 0.05). Albumin loss varied from 0.02 ± 0.05 to 7.6 ± 3.8 g/session with Elisio 21H™ HD and Renak PS-2.0W™ OL-HDF, respectively. Compared to all other strategies, Renak PS-2.0W™ OL-HDF induced a significantly higher albumin loss (p < 0.05). Conclusion: This study confirms that albumin loss and removal of MM are similar using conventional Elisio 21H™ OL-HDF, MCO-HD, and SHF type V dialyzers. Although Renak PS-2.0W™ OL-HDF provides high performance for MM depuration, this protein-permeable dialyzer should not be used in OL-HDF because of excessive albumin loss.
Intravitreal Dexamethasone Implant Has Better Retinal Perfusion than Anti-Vascular Endothelial Growth Factor Treatment for Macular Edema Secondary to Retinal Vein Occlusion: A Five-Year Real-World Study
Authors: Zhang Min , Liu Yang , Song Minlu , Yu Yang , Ruan Shang , Zheng Kairong , Wang Fenghua , Sun Xiaodong
Published: October 2022

Purpose: The purpose of the study was to investigate the long-term effect of intravitreal dexamethasone (DEX) implant and anti-vascular endothelial growth factor (VEGF) injection on macular edema (ME) secondary to retinal vein occlusion (RVO) in a real-world setting. Methods: The medical records of RVO-ME cases, with intravitreal injections and followed up for at least 5 years, were retrospectively reviewed. Changes in best-corrected visual acuity (BCVA) and central macular thickness (CMT) were primary outcomes. Images of fluorescence angiography and swept-source optical coherence tomography angiography were analyzed. Foveal avascular zone (FAZ) metrics and perfusion density at the last visit were also compared between the two treatments. Results: A total of 16 patients were recruited, 8 in the anti-VEGF group and 8 in the DEX group. At the 5th year, the BCVA and the CMT in the DEX group were not different from those in the anti-VEGF group (0.69 ± 0.36 LogMAR vs. 0.57 ± 0.30 LogMAR, p = 0.574; 183.25 ± 97.31 µm vs. 195.38 ± 40.92 µm, p = 0.442). Compared with the anti-VEGF group, the DEX group had higher FAZ circularity index (0.57 ± 0.14 vs. 0.68 ± 0.14, p = 0.130) and higher retinal perfusion density (0.45 ± 0.02 vs. 0.39 ± 0.03, p = 0.001), especially in the deep capillary plexus. Conclusion: DEX implant and anti-VEGF injection had comparative long-term effects on RVO-ME. Compared with the anti-VEGF treatment, the DEX treatment had advantages in maintaining retinal perfusion in patients with RVO.
Factors Impacting Life Expectancy in Bahrain: Evidence from 1971 to 2020 Data
Authors: Wirayuda Anak Agung Bagus , Al-Mahrezi Abdulaziz , Chan Moon Fai
Published: October 2022

The factors impacting life expectancy (LE) are important to a country as LE reflects the essential quality of its population. Previous studies showed that other than economic factors, health status and resources (HSR) and sociodemographic (SD) also affect LE. This area has not been previously studied in Bahrain, especially in the past five decades. Hence, this study aims to develop an explanatory model for HSR, macroeconomic (ME), and SD factors on LE in Bahrain. The research was a retrospective, time-series design that collected the annual published data on SD, ME, HSR, and LE in Bahrain's population from 1971 to 2020. The data were analyzed using the partial least squares-structural equation modeling (PLS-SEM) method. The result shows that ME (0.463, P < .001) and HSR (0.595, P < .001) have significant direct effects on LE. ME has an indirect effect (0.488, P < .001) on LE via SD and HSR, and SD has an indirect effect (0.496, P < .001) on LE through HSR. During the socioeconomic downturn, the health resources provision should not be reduced as it directly affects LE. An integrated policy addressing socioeconomic and health-related factors could protect the future of Bahrain's population health outcomes.