bluuebunny/crossref_metadata_2025 huggingface dataset:
Treatment-Resistant Hepatitis C Viral Infection: A Case Report and Literature Review
Authors: Green Victoria , Roytman Marina
Published: March 2022

Hepatitis C virus (HCV) is an ongoing global public health threat affecting millions worldwide. Increasing recognition of its impact and recent advances towards HCV prevention and cure have provided incentive for the World Health Organization to call for global elimination by 2030. The goal of therapy is to achieve a sustained virologic response (SVR-12), defined as undetectable HCV-RNA within 12 weeks after treatment completion. In 2011, approval was given for the first direct-acting antiviral agents (DAAs). More recently, in 2013, more effective DAAs, with pan-genomic properties, have been introduced, and these regimens boast increasing rates of SVR. The ultimate goal is that the history of HCV ends with the pan-genotypic efficacy of multiple, easy-to-use and tolerate, combination regimens. These regimens have already demonstrated the ability to cure previously challenging patient groups. However, limitations exist in the current portfolio of agents, with suboptimal outcomes for patients with HCV genotype 3. In addition to this, access to DAAs remains an obstacle for many patients. We present this case of a 61-year-old male with HCV genotype 3 who has had several treatment failures with standard HCV therapy who was eventually approved for compassionate use of a 16-week course of glecaprevir (GLE)/pibrentasvir (PIB), sofosbuvir (SOF), and ribavirin (RBV) which ultimately led to SVR-12.
SR-Fuzzy Sets and Their Weighted Aggregated Operators in Application to Decision-Making
Authors: Al-shami Tareq M. , Ibrahim Hariwan Z. , Azzam A. A. , EL-Maghrabi Ahmed I.
Published: March 2022

An intuitionistic fuzzy set is one of the efficient generalizations of a fuzzy set for dealing with vagueness/uncertainties in information. Under this environment, in this manuscript, we familiarize a new type of extensions of fuzzy sets called square-root fuzzy sets (briefly, SR-Fuzzy sets) and contrast SR-Fuzzy sets with intuitionistic fuzzy sets and Pythagorean fuzzy sets. We discover the essential set of operations for the SR-Fuzzy sets along with their several properties. In addition, we define a score function for the ranking of SR-Fuzzy sets. To study multiattribute decision-making problems, we introduce four new weighted aggregated operators, namely, SR-Fuzzy weighted average (SR-FWA) operator, SR-Fuzzy weighted geometric (SR-FWG) operator, SR-Fuzzy weighted power average (SR-FWPA) operator, and SR-Fuzzy weighted power geometric (SR-FWPG) operator over SR-Fuzzy sets. We apply these operators to select the top-rank university and show how we can choose the best option by comparing the aggregate outputs through score values.
Adaptive Parameter Estimation for Static Var Generators Based on Wind Speed Fluctuation of Wind Farms
Authors: Nie Yonghui , Wang He , Gao Lei , Wu Chunying , Xi Meng
Published: March 2022

The emergence of flexible AC transmission technology provides a new technical means for ensuring the reliable grid connection and stable operation of wind farms. Among them, the static reactive power generator has a fast response speed, which can accurately compensate for the reactive power of the wind farm and improve the power factor; this is widely used in wind farms. To obtain accurate static var generator (SVG) parameters to meet the reliability requirements of a power system, we propose an adaptive estimation method that considers the wind speed fluctuation of wind farms. First, analyzing the dynamic SVG characteristics allowed us to establish a mathematical model. Then, the corresponding relationship between the sensitivity values of the parameters to be identified and the fluctuating wind speed was established, and low and high wind speed models were constructed. Finally, for accurate estimation considering wind speed fluctuation, the parameter initial values are obtained by combining the low wind speed and high wind speed model identification parameters, and we introduce the multimode hybrid estimation of the SVG parameters, providing a new method for accurately identifying the SVG model parameters. The simulation results of the parameter estimation demonstrate the accuracy and stability of the proposed method.
Do Pollination and Pollen Sources Affect Fig Seed Set and Quality? First Attempt Using Chemical and Vibrational Fingerprints Coupled with Chemometrics
Authors: Hssaini Lahcen , Razouk Rachid , Irchad Ahmed , Aboutayeb Rachid , Ouaabou Rachida
Published: March 2022

This research investigates whether pollination and pollen sources separately and simultaneously influence fig seed set and quality, as being thus far the less studied part of the fig trees. This is the first research that tries to answer and verify the above hypothesis through a combined approach of vibrational spectroscopy along with lipo-biochemical and ionomic fingerprinting. Results showed that pollination and pollen source significantly impacted seed set as it was higher in fertilized seeds than that in the control. A similar pattern was obtained with oil yield, which generally ranged between 25.93 and 32.59%. Caprification also displayed a substantial effect on seeds' phenolic components, which was more driven by pollen carbohydrates, involved in the phenolic biosynthesis in the endosperm and embryo tissues. This biosynthesis is also activated by minerals, which are cofactors for large varieties of enzymes that are involved in the phenolic synthesis pathways. Ca and Zn did not follow this pattern and have recorded high levels in figs fertilized by the pollen of OZ and FD4 caprifigs pollen, respectively. Vibrational spectroscopy using Fourier transform infrared (FTIR) spectroscopy coupled with total attenuated reflectance (ATR) also showed a similar pattern to the seed sets and their lipo-biochemical attributes. Thus, the fertilized seeds displayed high vibrational intensity compared to the control in all fingerprint regions. Peaks at 2928 and 1747 cm−1 had a higher intensity and were attributed to lipids CH2 and CH3 stretching vibration and C=O of the carbonyl groups belonging to the triacylglycerols, respectively. Principal component analysis showed high throughput classification with quite similar patterns for both FTIR-ATR fingerprinting and ionomic and biochemical analysis. As many areas of how caprification impacts other seed aspects still need to be investigated further, this research suggests the importance of caprification in seed valorization for oil extraction and as a functional ingredient.
Adherence to Dihydroartemisinin + Piperaquine Treatment Regimen in Low and High Endemic Areas in Indonesia
Authors: Chakim Irfanul , Pumpaibool Tepanata , Sayono  , Fauzi Ekha Rifki
Published: March 2022

After decades of successful artemisinin regimen in combating malaria, its effectiveness has decreased since parasite resistance to the treatment regimen has begun to appear. Adherence to artemisinin combination therapy (ACT) in a population is considered to be the key factor contributing to such resistance phenomenon. Although several studies have tried to demonstrate adherence to several ACT types in a population, only a limited number of studies demonstrated adherence to dihyrdroartemisinin + piperaquine (DHP) regimen. The present study was conducted in two localities representing low and high endemic areas in Indonesia. Active case detection (ACD) and passive case detection (PCD) have been applied to screen for malaria case in the localities. At day 3, patients were visited in the house to be interviewed using structured questionnaire. Capillary sample of each patient was also collected on Whatman® filter paper at day 60 to observe the piperaquine metabolite of the patients. 47 and 91 (out of 62 and 138) patients from Jambi and Sumba, respectively, were successfully enrolled in this study. In Jambi, the level of adherence was 66%, while that in Sumba was 79.1%. The associated factors of adherence in our study settings are patient age group (OR = 1.65 [CI: 0.73–3.73]) and patients’ knowledge of malaria prevention measure (OR = 0.29 [CI: 0.09–0.9]). Our study suggested that the adherence to ACT medication among population in our study setting is considered to be less than 80%, which needs to be elevated to avoid the growing trend of treatment failure as seen globally. Additionally, our study found that metabolite at day 60 after prescription of piperaquine could be a potential marker for monitoring adherence to piperaquine drug in a population.
Suppressive Effect of Tetrahydrocurcumin on Pseudomonas aeruginosa Lipopolysaccharide-Induced Inflammation by Suppressing JAK/STAT and Nrf2/HO-1 Pathways in Microglial Cells
Authors: Lin Hui-Wen , Chen Tzu-Chun , Yeh Jui-Hsuan , Tsou Shang-Chun , Wang Inga , Shen Ting-Jing , Chuang Chen-Ju , Chang Yuan-Yen
Published: March 2022

Brain inflammation, a pathological feature of neurodegenerative disorders, exhibits elevated microglial activity and increased levels of inflammatory factors. The present study was aimed at assessing the anti-inflammatory response of tetrahydrocurcumin (THC), the primary hydrogenated metabolite of curcumin, which was applied to treat Pseudomonas aeruginosa (P.a.) lipopolysaccharide- (LPS-) stimulated BV2 microglial cells. THC reduced P.a. LPS–induced mortality and the production of inflammatory mediators IL-6, TNF-α, MIP-2, IP-10, and nitrite. A further investigation revealed that THC decreased these inflammatory cytokines synergistically with JAK/STAT signaling inhibitors. THC also increased Nrf2/HO-1 signaling transduction which inhibits iNOS/COX-2/pNFκB cascades. Additionally, the presence of the HO-1 inhibitor Snpp increased the levels of IP-10, IL-6, and nitrite while THC treatment reduced those inflammatory factors in P.a. LPS–stimulated BV2 cells. In summary, we demonstrated that THC exhibits anti-inflammatory activities in P.a. LPS-induced inflammation in brain microglial cells by inhibiting STAT1/3-dependent NF-κB activation and inducing Nrf2-mediated HO-1 expression.
Operation Optimization of Integrated Energy System considering Power-to-Gas Technology and Carbon Trading
Authors: Sun Xin , Zhang Yadi , Zhang Yuyun , Xie Jingdong , Sun Bo
Published: March 2022

Application of power-to-gas (P2G) technology can implement bidirectional energy flow between power network and gas network, which contribute to improved energy coupling, better operational flexibility, and high economic efficiency in the integrated energy system (IES). This study proposes a detailed IES model based on the refined P2G model according to the characteristics of P2G equipment. An optimal efficiency matching coefficient is proposed to increase the rate of energy equipment utilization. To address the carbon allocation problem, the carbon trading mechanism is employed in an optimization model with the consideration of economic benefits and costs (i.e., sales benefits, operating cost, carbon trading cost, wind power, and photovoltaic curtailment punishments). Case studies verify the advantage of the proposed optimization model. Furthermore, the results show that the P2G with gas tank mode has an obvious advantage in a comprehensive operating capability of IES.
16SrDNA-Based Detection Technology in Patients with Chronic Pharyngitis to Analyze the Distribution Characteristics of Pharyngeal Bacteria
Authors: Shen Yage , Liu Chunhan , Luo Jiao , Wang Jianchao , Zhang Di
Published: March 2022

In order to analyze the distribution characteristics of pharyngeal bacteria in patients with chronic pharyngitis (CP) by 16SrDNA-based detection technology, a prospective study is conducted to collect pharyngeal secretion samples from patients diagnosed with CP who are admitted to the Otorhinolaryngology Department of The Third People’s Hospital of Shenzhen from May 2021 to September 2021. Among them, 11 cases are chronic simple pharyngitis (CSP), 11 cases are chronic hypertrophic pharyngitis (CHP), and 8 cases are healthy subjects. All samples are detected by the 16SrDNA technique and analyzed by bioinformatics. 55724.64 ± 1772.80, 53697.73 ± 2252.19, and 55177.5 ± 1661.80 optimized sequences are obtained by 16SrDNA sequencing. The α diversity analysis of pharyngeal microflora showed that the abundance index SOBS of pharyngeal microflora is upregulated in patients with CHP compared with normal controls (NC), but the diversity index of pharyngeal bacteria in the three groups is not significantly changed, indicating that the abundance of pharyngeal bacteria in the CHP group is increased. The β diversity analysis of pharyngeal microflora showed that the three groups are similar in structure and composition, and there is no significant statistical difference. The structural difference analysis of pharyngeal flora combined with LEfSe difference analysis showed that at the phylum level, the relative abundance of Spirochaetes and Synergistetes in the CHP group is significantly higher than that in the CSP group. At the genus level, the relative abundance of opportunistic pathogens such as Selenomonas and Campylobacter increased significantly in the CSP group. The relative abundance of Escherichia, Mycoplasma, and Porphyromonas are significantly increased in the CHP group. The abundance of beneficial symbiotic bacteria decreased significantly in patients with CP. The pharyngitis of patients with CP is characterized by an increase in the abundance of pharyngitis, changes in the structure of pharyngitis, a decline in the symbiotic beneficial bacteria, and an increase in the content of opportunistic pathogens, which may be closely related to the onset and development of CP.
[Retracted] Correlation between the Variability of Glycosylated Hemoglobin and Cardiovascular Risk in New‐Onset T2DM Patients
Authors: Tong HuoMu , Wang DongYing , Fang MiaoZhen
Published: March 2022

Objective. To investigate the relationship between glycosylated hemoglobin variant index and cardiovascular disease in patients with type 2 diabetes. Methods. A total of 120 patients with type 2 diabetes who were admitted to the Department of Endocrinology in Chun’an Branch of Zhejiang Provincial People’s Hospital from January 2014 to January 2017 were enrolled. The clinical data, fasting blood glucose, and glycosylated hemoglobin levels of the patients were collected, and HGI was obtained by calculating the FPG level into the formula. Follow‐up for three years was performed to observe the cardiovascular disease (including coronary heart disease and ischemic stroke) in patients. The occurrence of CVD was analyzed in patients with different levels of HGI. Multivariate logistics regression analysis was used to analyze the risk factors of CVD in patients with T2DM. Results. After three years of follow‐up, 8 cases of 120 patients were lost to follow‐up. In the end, 24 cases of CVD occurred in 112 patients, with an incidence rate of 21.43%. Comparing the clinical data of CVD patients and non‐CVD patients, it was found that the proportion of age, FPG, HbA1c, HGI, and insulin control in the CVD group was higher than that of the non‐CVD group, and the difference was statistically significant (P < 0.05). After grouping according to different HGI levels, it was found that with the increase of HGI level, the proportion of HbA1c, FPG, TC, CVD, and insulin use showed an upward trend (P < 0.05). Multivariate logistic regression analysis showed that high HGI level (OR = 4.660), older age (OR = 4.815), and higher FPG level (OR = 1.717) are independent risk factors that affect T2DM patients with cardiovascular disease (P < 0.05). Conclusion. High HGI is independently associated with CVD events in patients with type 2 diabetes. HGI testing is helpful for clinical assessment of personalized assessment and prediction of cardiovascular risk in patients with diabetes.
The Effect of Enalapril, Losartan, or Not Antihypertensive on the Oxidative Status in Renal Transplant Recipients
Authors: Andrade-Sierra Jorge , Morales-Guillén Mónica Lizbeth , García-Sánchez Andrés , Díaz-de la Cruz Elodia Nataly , Cerrillos-Gutiérrez José Ignacio , Rojas-Campos Enrique , Miranda-Díaz Alejandra Guillermina
Published: March 2022

The clinical and biochemical improvement observed in kidney transplant (RT) recipients is remarkable. The correct functioning of the allograft depends on various factors such as the donor’s age, the alloimmune response, the ischemia-reperfusion injury, arterial hypertension, and the interstitial fibrosis of the allograft, among others. Antihypertensive drugs are necessary for arterial hypertension patients to avoid or reduce the probability of affecting graft function in RT recipients. Oxidative stress (OS) is another complex pathophysiological process with the ability to alter posttransplant kidney function. The study’s objective was to determine the effect of the administration of Enalapril, Losartan, or not antihypertensive medication on the oxidative state in RT recipients at the beginning of the study and one year of follow-up. All patients included in the study found significant overexpression of the oxidative damage marker to DNA and the antioxidant enzymes superoxide dismutase (SOD) and glutathione peroxidase (GPx). In contrast, it was found that the determination of the total antioxidant capacity decreased significantly in the final determination at one year of follow-up in all the patients who ingested Enalapril and Losartan. We found dysregulation of the oxidative state characterized mainly by oxidative damage to DNA and a significant increase in antioxidant enzymes, which could suggest a compensatory effect against the imbalance of the oxidative state.
Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process
Authors: Huang Yulong
Published: March 2022

This paper is based on the alumina ceramic manufacturing process and its quality to build a quality information management system to study alumina ceramics and its quality factors such as physical properties, chemical properties, and other pieces of related information to find a kind of alumina ceramics. The management of quality management brings efficiency and guarantee to the management system. Obviously, this research is based on the two parts of alumina ceramic tube and quality management information system for data acquisition and analysis. One part is based on the production and performance analysis of alumina ceramic tube and summarizes the quality problems that occurred in this process. This paper constructs an information management system to count these issues and conducts research on information dominance and management; among them, exponential smoothing calculation methods, linear trends, convolutional neural algorithms, and so on are applied for methodological analysis. The experimental results show that the lack of corners and uneven corners in alumina production has been greatly reduced, and the maximum probability of uneven corners has been reduced from 9.27 to 5.27. The scrap rate of ceramic tube quality decreased from the highest value of 5.82 to 3.17, and the maximum value of unqualified quality was changed from 5.76 to 3.03.
Design of Air Passenger Travel Choice Intention Prediction System Based on Deep Learning
Authors: Wei Wei , Cheng Wang
Published: March 2022

Under the Beijing-Tianjin regional comprehensive transportation system, the flow of air passengers between multiple airports in the region is more frequent. The fundamental reason for the flow of air passengers is that there are differences in the level of service quality provided by airports and airlines in the region. Passengers’ choice intention is the consumption and purchase decision of passengers on aviation services. By constructing a Logit model, this paper analyzes the degree of influence on the travel choice intention of air passengers in the Beijing-Tianjin region from five aspects: individual passenger demographic characteristics, travel purpose, ground transportation characteristics, airport operation capacity, and airport soft power. Passengers can effectively predict the choice of air travel mode in the Beijing-Tianjin region. The results show that Beijing Capital Airport is favored by business travelers; Beijing Daxing International Airport is favored by travelers because of its fast security check-through speed; for Tianjin Binhai International Airport, the convenience of getting in and out of the airport by car and the speed of airport security check-through are two significant factors. Indicators do not affect the selection of airports; reasonable follow-up arrangements when airport flights are delayed are the only significant but negatively correlated factor; the research design results provide new ideas for the analysis of passenger travel mode selection behavior in multiple airport areas, enriching the data-driven research on transportation choices.
Numerical Study on Electromagnetic Coupled Heat Transfer and Ultrasonic Propagation in GIS Busbar Chamber
Authors: Si Wen-Rong , Fu Chen-Zhao , Hu Zheng-Yong , Wang Bo , Yang Jian
Published: March 2022

In the present paper, the electromagnetic coupled heat transfer and ultrasonic propagation in a 252 kV three-phase GIS busbar chamber were numerically studied by using the finite element method. The electromagnetic loss and distributions of SF6 gas velocity, temperature, and breakdown margin in the GIS busbar chamber were carefully analyzed, and the influences of SF6 gas velocity and temperature variations on ultrasonic propagation performances in the GIS chamber were discussed in detail. It is found that the SF6 gas breakdown margin in the GIS busbar chamber is mainly affected by the electric field intensity. When I = 3300 A and

U

 = 1050 kV, the minimum SF6 gas breakdown margin in the GIS busbar chamber is 7.98 kV/mm, which is located at top of busbar conductor A, where the thermal breakdown risk is relatively high. Furthermore, it is noted that, when natural convection in GIS busbar chamber is weak, the influences of SF6 gas velocity and temperature variations on sound propagation would be insignificant. For this case, when acoustic propagation simulation is performed, the SF6 gas would be assumed to be stationary and its temperature would be set to the average gas temperature of natural convection in the GIS chamber, which would be beneficial to reduce the computational time and maintain the simulation accuracy as well.
Spatial Conflict Risk Measurement and Early Warning Based on Network Information Processing
Authors: Yin Hexiao
Published: March 2022

The contradiction of land use is becoming more and more fierce in China, which poses a serious threat to the structural integrity and quantity of ecological land, the uncontrolled expansion of urban construction land, the imbalance between the spatial structure of agricultural land and ecological land, and the unreasonable spatial structure of various types of land within the city. This study mainly discusses the risk measurement and early warning of spatial conflict based on network information processing. In this study, GIS technology is used to deal with the risk of spatial conflict. Spatial conflict, in essence, is an objective geographical phenomenon arising from the competition for spatial resources in the process of human-land relations and is the result of the interaction between natural geographical factors and human factors, and natural geographical processes and human processes, and is a key factor affecting the sustainable development of the region. The logical network attack path composed of IP sequence captured by the space conflict network early warning and emergency response system is transformed into the attack path composed of a corresponding physical address sequence, which is directly displayed on the electronic map. At the same time, the attributes related to the spatial conflict events in the research area are also displayed in the form of a list. When the macro network early warning and emergency response system detect the occurrence of space conflict events in the study area, its emergency response subsystem queries the strategy database and outputs the emergency strategy in real-time by inputting the warning information analyzed by the early warning information analysis subsystem. Finally, the system realizes the functions of network node information visualization processing, network early warning and emergency response information visualization processing, and electronic layer basic operation. It is found that the industrial added value of the study area of ABC urban agglomeration has reached 283.140 billion yuan in recent three years, accounting for 60.25% of the industrial added value of the three cities and 30.98% of the whole province. The results show that the improper spatial regional combination has an important impact on the spatial conflict, and the improper spatial regional combination will significantly improve the level of spatial conflict.
A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals
Authors: Sakalle Aditi , Tomar Pradeep , Bhardwaj Harshit , Alim Md. Abdul
Published: March 2022

COVID-19, a WHO-declared public health emergency of worldwide concern, is quickly spreading over the world, posing a physical and mental health hazard. The COVID-19 has resulted in one of the world’s most significant worldwide lockdowns, affecting human mental health. In this research work, a modified Long Short-Term Memory (MLSTM)-based Deep Learning model framework is proposed for analyzing COVID-19 effect on emotion and mental health during the pandemic using electroencephalogram (EEG) signals. The participants of this study were volunteers that recovered from COVID-19. The EEG dataset of 40 people is collected to predict emotion and mental health. The results of the MLSTM model are also compared with the other literature classifiers. With an accuracy of 91.26%, the MLSTM beats existing classifiers when using the 70–30 partitioning technique.
Acute Portal Vein Thrombosis during COVID-19 Convalescent Phase
Authors: Rahimian Shoja , Pawar Tushar , Garrahy Ian , Rettew Andrew
Published: March 2022

Acute portal vein thrombosis represents a less common type of venous thromboembolism, even among the prothrombotic complications of coronavirus disease 2019 (COVID-19). Such complications are primarily reported during the active phase of infection. The case here describes acute portal vein thrombosis following resolution of COVID-19 in a 44-year-old male who presented with abdominal pain. Abdominal imaging identified portal and other splanchnic vein thromboses. Studies for hypercoagulable conditions were negative. Polymerase chain reaction was negative for severe acute respiratory syndrome coronavirus-2; however, IgG serology was positive. The case highlights the importance of considering thrombotic complications, particularly splanchnic vein thromboses, in patients with recent COVID-19.
Construction of an Innovative Development Model of Intelligent Media under the Coverage of a Wireless Sensor Network
Authors: Yu Xueyong
Published: March 2022

A distributed network composed of sensor nodes with limited computing and communication capabilities is a wireless sensor network, which is a system that can autonomously and intelligently complete target tasks according to the surrounding environment. With its wide application in the fields of smart medical care, smart home, networks of vehicles, and smart media, its communication performance requirements are also increasing. According to the needs of different application scenarios, the first key problem to be solved in wireless sensor networks is what optimization coverage strategy to adopt, which will have a direct impact on the optimal allocation of very limited resources such as node energy, communication bandwidth, computing power, and other network services’ quality. Nodes adopt a probability-based joint perception model, and its algorithm is a node scheduling mechanism based on the connected dominating set to construct a tree. Each node sets the waiting time and becomes a candidate node priority according to the remaining energy and the distance from the parent node. In this paper, the issue of energy fairness is considered in heterogeneous wireless sensor networks. In order to prevent the occurrence of “energy holes,” this paper proposes a node deployment model similar to cellular networks. By deploying heterogeneous sensor nodes in this way, energy saving can be achieved. Based on this model, game theory is used to simulate the data packet transmission process between sensor nodes, an energy consumption mechanism suitable for each stage of data transmission is proposed, and Nash equilibrium is finally obtained by rationally designing the measurement function. The node deployment scheme proposed in this paper not only balances the energy consumption of the network but also prolongs the life cycle of the network. Aiming at the three-dimensional (3D) space environment, this paper studies a node deployment mechanism that guarantees connectivity and has a perceptual coverage degree of k with the help of the Reuleaux tetrahedron model. In this paper, a node deployment strategy is proposed and compared with the node deployment algorithm for 3D sensor network based on truncated octahedron. The simulation experiment results show that the wireless sensor network with artificial intelligence can not only optimize the production process of intelligent media but also improve each link of the media industry chain and further catalyze the development of new formats in the media industry. The experimental results also show that the algorithm can effectively meet the requirements of sensing coverage and connectivity coverage, the number of working nodes is small, the network life cycle is significantly prolonged, and the overall energy consumption of the network is reduced. The study results of this paper provide a reference for follow-up research on the construction of innovative development model of intelligent media under the coverage of wireless sensor network.
Empowerment of Primary Healthcare Providers on the Prevention and Management of Dental or Oral Health Issues among Postchemotherapy Patients in Pandemic
Authors: Paulsamym Premalatha , Venkatesan Krishnaraju , Muthu Mohamed Jamal Moideen , Alshahrani ShadiaHamoud , Ramaiah Ramasubbamma , Easwaran Vigneshwaran , El-Sherbiny Mohamed , Dosoky Mohamed , Abdulla Khan Noohu , Prabahar Kousalya , Kandasamy Geetha , Sahile Kibebe
Published: March 2022

Objectives. The study aim was to evaluate the empowerment of primary healthcare providers on the prevention and management of dental or oral health issues among postchemotherapy (PC) patients, in selected rural regions, India, during a pandemic. Methods. Initially, 240 PHPs were recruited by convenient and snow ball sampling with 90.3% response rate. A descriptive, cross-sectional study was adopted using a self-administered questionnaire with 5 sections: demographics, identification of dental/oral health issues, knowledge, attitude, and practice on prevention and management of dental/oral health problems in PC patients. Statistical Packages for Social Sciences (SPSS) version 23.0 was used for statistical analysis. Results. The overall knowledge was better among nurses (64.56%), followed by pharmacists (54.5%). 81.65% of PHPs were willing to learn more and expressed the need for collaboration with dentists. In the past 3 months, 18.81% of them had PC patients with dental/oral health issues, but only 3.5% of nurses and 0.8% of pharmacists treated them. The logistic regression model revealed higher scores in mucositis/mucosal pain (OR = 1.41), altered taste sensation (OR = 1.34), sensitive gums (OR = 1.71), and dental caries (OR = 1.32) domains (

p
<
0.05

). Those who had readiness to learn (OR = 5.37), nurses and pharmacists, and having less years of experience (OR = 1.31) and higher degree (OR = 1.4) had a positive attitude (

p
<
0.05

). Conclusion. PHPs had limited empowerment in terms of knowledge and practice but showed a positive attitude toward the prevention and management of dental/oral health issues of PC patients. For better practice, continuing education and collaboration with dental professionals is essential.
Personalized Intelligent Recommendation Algorithm Design for Book Services Based on Deep Learning
Authors: Yang Weiwei
Published: March 2022

Machine learning is one of the important branches of artificial intelligence, which provides new technical means for analyzing users, understanding users, and gaining insight into users. The framework of the personalized intelligent service model for libraries based on user portraits is proposed, and intelligent technologies such as machine learning are applied to analyze and mine users’ big data, build user portraits, associate users and resources with user portraits, and provide personalized intelligent services for users. The study gives a case study of book recommendation by firstly extracting users’ personalized interests, then applying the plain Bayesian algorithm to discover users’ current personalized potential demands for books, and finally providing users with personalized intelligent book recommendation services that match their interests and mainly meet their potential demands.
Estimation of Water Saturation in Shale Formation Using In Situ Multifrequency Dielectric Permittivity
Authors: Cho Yongchae , Dolan Sean S. , Saxena Nishank , Das Vishal
Published: March 2022

Estimating water saturation via conventional logging tool such as resistivity cannot provide an accurate solution in a formation with low conductivity water and tight porosity. As an alternative, we employed a dielectric permittivity, which makes it easy to differentiate the water from the other fluids in pore structures. A multichannel frequency dielectric logging tool is used for measuring in situ permittivity. To simulate a dielectric permittivity, we used two analytic models: Lichtenecker-Rother (LR) and Stroud-Milton-De (SMD) models. The key goal of this research is to propose a workflow to evaluate an equivalent Archie’s parameter which can generate the same dielectric logging tool responses with core measurement results using a given analytic models. According to the results of the LR model curve-fitting, the estimated Archie’s parameter shows inversely proportional relationship with clay volumes. The estimated Archie’s parameter from the SMD model is sensitive to the lower frequency channels of the multifrequency dielectric logging tool. Nevertheless, utilizing the response of the dielectric logging tool in the frequency range, where interfacial polarization effect does not exist, can provide an alternative to estimate water saturation in shale formations with relatively less conductive waters.
Application of Cluster Analysis Algorithm in the Online Intelligent Teaching Art Resource Platform
Authors: Yu Tiankuo
Published: March 2022

With the explosion of knowledge and the high-speed dissemination of information, people’s desire for knowledge and information is getting stronger and stronger. At the same time, the updating of knowledge and information is going on at an unprecedented speed. The traditional teaching mode is affected by time and space. Its limitations have become more and more prominent; the traditional classroom teaching has been unable to meet the existing teaching needs. At present, there are many methods for the analysis of network user behavior, such as statistical methods, association analysis methods, and clustering algorithms. Among them, clustering algorithms are more widely used in network user behavior analysis, which is closely related to the unsupervised and high efficiency of clustering algorithms. This paper combines the advantages of clustering algorithm in network user behavior analysis and, on the basis of the existing clustering algorithm research, proposes an improved algorithm for the analysis of online intelligent teaching art resources, so as to obtain the law of online behavior of student users in campus network. Provide some help for students’ Internet management and network optimization. Finally, summarize and put forward the concept of intelligent teaching and design and implement an online intelligent teaching art resource platform based on cluster analysis algorithm. Studies have shown that the average number of transactions processed by the platform per second is 65.21, which can well simulate real information query use cases. The transaction processing time of the platform will eventually stabilize between 30 s and meet the performance requirements.
Four-Octyl Itaconate Attenuates UVB-Induced Melanocytes and Keratinocytes Apoptosis by Nrf2 Activation-Dependent ROS Inhibition
Authors: Xie Yongyi , Chen Zile , Wu Zhouwei
Published: March 2022

Vitiligo is an acquired skin depigmentation disease in which excessive reactive oxygen species (ROS) play a critical pathogenic role in melanocyte destruction. The complex crosstalk between melanocytes and keratinocytes in vitiligo suggests that treatments aimed at protecting both the cells might be meaningful. In this study, we investigated the effect of 4-octyl itaconate (4-OI), an itaconate derivative, on ultraviolet B- (UVB-) induced apoptosis in HaCaT and PIG1 cells and the underlying mechanisms. HaCaT and PIG1 cells were pretreated with 4-OI (50 or 100 μM) for 24 h and then exposed to 300 mJ/cm2 UVB (emission range 290–320 nm, emission peak 310 nm). ROS levels and cell apoptosis were investigated using fluorescence microscopy and flow cytometry 24 h after irradiation. In addition, nuclear translocation and the expression of pathway-related proteins and mRNAs were detected using confocal microscopy, western blotting, and qRT-PCR, respectively. Our results demonstrated that UVB induced apoptosis in HaCaT and PIG1 cells, whereas inhibition of ROS production could reverse this effect. Furthermore, 4-OI attenuated UVB-induced apoptosis in HaCaT and PIG1 cells in a concentration-dependent manner by reducing the ROS levels. Moreover, 4-OI induced nuclear translocation and activation of nuclear factor erythroid 2-related factor 2 (Nrf2), and Nrf2 silencing reversed the inhibitory effect of 4-OI on the UVB-induced increase in ROS production and apoptosis in HaCaT and PIG1 cells. In addition, in vivo experiments using the Institute of Cancer Research mouse model showed that 4-OI via tail vein injection (10 mg/kg/day for six consecutive days) could reduce skin damage induced by UVB (400 mJ/cm2/day for five consecutive days). In conclusion, 4-OI can protect melanocytes and keratinocytes from UVB-induced apoptosis by Nrf2 activation-dependent ROS inhibition and can potentially treat skin disorders associated with oxidative stress, such as vitiligo.
Circular RNA_0057209 Acts as ceRNA to Inhibit Thyroid Cancer Progression by Promoting the STK4-Mediated Hippo Pathway via Sponging MicroRNA-183
Authors: Peng Xinzhi , Zhu Yue , Lin Shaojian , Yu Weiming , Zhang Cheng , Tan Langping , Long Miaoyun , Luo Dingyuan , Ji Chengcheng
Published: March 2022

Thyroid cancer is the most common malignancy of the endocrine system, and its outcome remains unsatisfactory. In recent years, circular RNAs (circRNAs) have emerged as crucial regulators in cancers. In the current study, we aimed to investigate whether and how circRNA_0057209 functioned in thyroid cancer. Initial results revealed that circRNA_0057209 and STK4 were both reduced, while miR-183 was up-regulated in thyroid cancer tissues and cells. Experiments including RNA pull-down and RIP assays further identified that upregulation of circRNA_0057209 augmented the expression of STK4, a target gene of miR-183, by competitively-binding to miR-183. Furthermore, functional experiments provided evidence that overexpression of circRNA_0057209 not only inhibited the proliferative, migratory, and invasive properties of thyroid cancer cells while facilitating their apoptosis but also delayed tumor growth. Conversely, upregulation of miR-183 or silencing of STK4 reversed the changes induced by circRNA_0057209. Meanwhile, mechanistic experimentation demonstrated that circRNA_0057209 promoted STK4 expression by sponging miR-183, while STK4 enhanced YAP phosphorylation to mediate the Hippo pathway, thereby suppressing tumor progression. Altogether, our findings indicated that circRNA_0057209 may serve as a competing endogenous RNA of miR-183 to increase STK4 expression, thus inhibiting the development of thyroid cancer.
Dysfunction of the Purinergic System in Bipolar Disorder
Authors: Malewska-Kasprzak Magda , Permoda Agnieszka , Rybakowski Janusz K.
Published: March 2022

Objective: To verify the purinergic hypothesis of bipolar disorder (BD), we assessed the concentration of various components of the purinergic system in manic and depressed bipolar patients. Methods: Sixty-two patients (19 male and 43 female), aged 22–69 (49 ± 14) years, with BD were studied. Twenty-three patients (9 male and 14 female) were assessed during a manic episode and subsequent remission, and 39 patients (10 male and 29 female) were investigated in a depressive episode and the following remission. Twenty-two healthy subjects (8 male and 14 female), aged 19–70 (41 ± 14) years, served as the control group (CG). The severity of symptoms was evaluated using the Hamilton Depression Rating Scale (HDRS) and the Young Mania Rating Scale (YMRS). The concentrations of uric acid (UA) were estimated by the uricase-based method, whereas xanthine dehydrogenase (XDH), adenosine (Ado), and adenosine deaminase (ADA) by ELISA. Results: The mean score in the acute episode was 32 ± 8 points in the YMRS for mania and 31 ± 8 in the HDRS for depression. UA levels were significantly higher in female bipolar patients compared to the females in the CG. The concentrations of XDH, Ado, and ADA were significantly lower in bipolar patients both during an acute episode and remission compared to CG. Conclusions: A significant dysfunction of the purinergic system in patients with BD was observed. In most instances, the disturbances were not different in the acute episode than in remission what qualifies them as trait dependent. The results may confirm the role of the purinergic system in the pathogenesis of BD.
Age and ECOG Performance Status as Predictors of Survival of Patients with Upper Urinary Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy
Authors: Eismann Lennert , Bohn Lucas , Buchner Alexander , Casuscelli Jozefina , Volz Yannic , Weinhold Philipp , Wülfing Christian , Waidelich Raphaela , Stief Christian G. , Schlenker Boris , Rodler Severin
Published: March 2022

Introduction: This study aimed to evaluate the impact of chronological and biological age on perioperative complications and survival after radical nephroureterectomy (RNU). Elderly patients with upper-tract urothelial carcinoma might be overtreated by RNU. Methods: We retrospectively analyzed patients undergoing RNU. To evaluate the perioperative risk, patients were divided into four groups (<75; 75–79; 80–84; ≥85 years). The endpoints are perioperative complications and survival (overall survival [OS]). We calculated a risk score including chronological and biological age (Eastern cooperative oncology group performance status). Statistical analysis was performed by Kruskal-Wallis, Mann-Whitney U, χ2, log-rank, and Breslow tests. Results: 194 patients were included in the study. Median follow-up was 25.5 months. Elderly cohorts ≥2 presented a higher number of days in intensive care unit following RNU (p < 0.001). Complication rates increased from cohort 1–4 with rates of 48.8%; 55.2%; 92.0%; 85.7% (p < 0.001). Median survival was 115, 55, 28, and 20 months for cohorts 1, 2, 3, and 4, respectively. The combined risk score revealed a significant 5-year OS benefit for patients with score 0 (82.3%) compared to score 1 (46.0%) and score 2 (15.0%; p < 0.001). Discussion/Conclusion: We evaluated the impact of chronological and biological age on perioperative complications and survival after RNU. A combined risk score of chronological and biological age correlates with survival after RNU.
Distinct ρ-based model of silicon N-channel double gate MOSFET
Authors: Mohammad Hameed Pasha , Hadimani H. C. , Yedukondalu Udara , Udara Srinivasa Rao
Published: March 2022

Growing endless demand for digital processing technology, to perform high speed computations with low power utilization and minimum propagation delay, the metal-oxide-semiconductor (MOS) technology is implemented in the areas of very large scale integrated (VLSI) circuit technology. But MOS technology is facing the challenges in linear scaling the transistors with different channel modelling for the present day microelectronic regime. Linear scaling of MOSFET is restricted through short-channel-effects (SCEs). Use of silicon N-channel double gate MOSFETs (DG MOSFETs) in present day microelectronic regime features the short channel effect of MOSFET through a reasaonable forward transfer admittance with the characteristics of varying input capacitance values ratio. In this research paper, a distinct ρ-based model is designed to simulate SCEs through the designed silicon N-channel double gate MOSFETs with the varying front and back gate doping level and surface regions to estimate the varying junction capacitances can limit the intrusion detection systems (IDS) usage in VLSI applications. Analytical model for channel length and simulated model for total internal device capacitance through distinct ρ-based model are presented. The proposed distinct ρ-based model is suitable for silicon nanowire transistors and the effectiveness of the proposed model is validated through comparative results.
Customization of GPRS, and Wi-Fi device drivers for PXA270 of Linux OS based barcode scanner
Authors: Pujeri Prabhakar , Dessai Sanket S. Naik
Published: March 2022

To access any device, it is necessary to have an access point. A device driver is an entry point to access a device. This project is aimed to customize the Wi-Fi and general packet radio service (GPRS) device drivers in Linux OS for PXA270 (Intel Xscale ARM processor). Customizing a device driver is a special way of designing software that can be more easily ported from one architecture to another without rewriting it from scratch. The paper is discussing about the customisation of Wi-Fi and GPRS device driver in Linux OS for PXA270 (Intel Xscale ARM processor). To develop a device driver, it is necessary to understand the processor architecture and Linux kernel internals and other design constraints. Since dynamically loaded driver module is attached to the existing kernel, and any error in the driver will crash the entire system. Resource allocation and implementation for a device is one of the main concerns for device driver developers. The device resources are input/output, memory, IRQs and ports. The required toolchain to build the cross-complier for the Intel Xscale ARM processor was built on Linux platform. The customised device drivers of Wi-Fi, and GPRS was customised, and the customised images are made to port for PXA270 processor architecture on EMX-270 board. With all the supporting parameters the kernel images with drivers are build and ported efficiently. Also, a successful verification and testing had been performed for their functionalities.