bluuebunny/crossref_metadata_2025 huggingface dataset:
Algorithm Composition and Emotion Recognition Based on Machine Learning
Authors: He Jiao
Published: June 2022

This paper proposes a new algorithm composition network from the perspective of machine learning, based on an in-depth study of related literature. At the same time, this paper examines the characteristics of music and develops a model for recognising musical emotions. Using the model’s information entropy of pitch and intensity to extract the main melody track, note features are extracted from bar features. Finally, the cosine of the vector included angle is used to judge the similarity between feature vectors of several adjacent sections, allowing the music to be divided into several independent segments. The emotional model of music is used to analyze each segment’s emotion. By quantifying music features, this paper classifies and quantifies music emotion based on the mapping relationship between music features and emotion. Music emotion can be accurately identified by the model. The model’s emotion recognition accuracy is up to 93.78 percent, and the algorithm’s recall rate is up to 96.3 percent, according to simulation results. The recognition method used in this paper has a higher recognition ability than other methods, and the emotion recognition result is more reliable. This paper can not only meet the composer’s auxiliary creative needs, but it can also help intelligent music services.
The Application of circRNA‐016901 in Improving the Diagnostic Accuracy of Osteoarthritis
Authors: Du Mingchang , Fan Shiwen , Liu Ye , Hao Yifan , Guo Jie
Published: June 2022

In clinical practice, osteoarthritis (OA) is frequently misdiagnosed as rheumatoid arthritis (RA) and osteonecrosis (ON), leading to wrong treatment and disease progression. Circular RNA‐ (circRNA‐) 016901 affects the recovery of irradiation‐induced injury in the bone, while its role in OA is unclear. This study is aimed at exploring the role of circRNA‐016901 in improving the diagnostic accuracy of OA. The present study included patients with OA (n = 80), patients with RA (n = 80), patients with ON (n = 80), and healthy controls (HCs, n = 80) to collect plasma samples before and after treatment. RT‐qPCR was performed to detect RNA accumulation of circRNA‐016901 in plasma samples from all participants. The role of plasma expression of circRNA‐016901 in predicting OA was studied with ROC curve analysis. Association between plasma expression of circRNA‐016901 and patients’ clinical features was analyzed with the chi‐squared test. Compared to HCs, increased accumulation of circRNA‐016901 was only observed in the OA group, but not in the RA and ON groups before treatment. OA patients were effectively separated from the RA, ON, and HC groups using plasma expression of circRNA‐016901 before treatment as a biomarker. Plasma expression of circRNA‐016901 was closely associated with OA patients’ disease severity. After treatment, decreased plasma expression levels of circRNA‐016901 were only observed in OA patients, while no alteration in plasma circRNA‐016901 accumulation was observed in the RA and ON groups. In conclusion, circRNA‐016901 is accumulated to high levels in OA and may be applied to improve the diagnostic accuracy of OA.
Klebsiella pneumonia and Its Antibiotic Resistance: A Bibliometric Analysis
Authors: Li Yanping , Kumar Suresh , Zhang Lihu , Wu Hongjie
Published: June 2022

The rapid development of antibiotic resistance in K. pneumonia has led to a major concern. In order to analyze the hotspots and develop trends in this field through visual the analysis, this study used CiteSpace software to summarize the available data in the literature to provide insights. A total of 9366 research articles were retrieved from the Web of Science Core Collection, and the number of published papers is increasing year by year. The country with the most articles was the USA, followed by China and India. The institution with the highest number of publications was LERU. The author with the highest number of articles was Li. The journal with the highest citation rate was Antimicrobial Agents and Chemotherapy. In addition, based on keyword coword analysis and cited literature prominence analysis by CiteSpace, the current research focus in the field was therapy, CRKP, and resistance genes. This paper provides a new quantitative visualization way for the development of the field in the recent ten years. The results show global trends that researchers can use to determine future directions.
[Retracted] Content System of Physical Fitness Training for Track and Field Athletes and Evaluation Criteria of Some Indicators Based on Artificial Neural Network
Authors: Wang Wei , Chen Xiaowei
Published: June 2022

Track and field is a competitive sport with a long history, and it is one of the earliest sports that started scientific training. It is also the main source of many classic theories and methods of modern competitive training, and most of them are still in use today. The purpose of this paper is to study how to analyze and discuss the content system of physical fitness training for track and field athletes and some evaluation criteria of indicators based on artificial neural network. It also describes the BP neural network. This paper puts forward the problem of training content system and index evaluation standard, which is based on artificial neural network. Therefore, the concept and related algorithms are elaborated, and the case design and analysis are carried out. The experimental results show that the physical training method is mainly based on the transformation training method. The goal is to improve the athlete’s training motivation, interest, and adaptability. The training method is relatively simple in design. According to the distribution of muscles, there are more core and trunk training methods, accounting for 23.64% of physical training.
Alpha-Lipoic Acid Promotes Intestinal Epithelial Injury Repair by Regulating MAPK Signaling Pathways
Authors: Yang Yu , Xiao Yong , Jiang Yue , Luo Jiajun , Yuan Jingwen , Yan Junfeng , Tong Qiang
Published: June 2022

Intestinal epithelial cells are an essential barrier in human gastrointestinal tract, and healing of epithelial wound is a key process in many intestinal diseases. α-Lipoic acid (ALA) was shown to have antioxidative and anti-inflammatory effects, which could be helpful in intestinal epithelial injury repair. The effects of ALA in human colonic epithelial cells NCM460 and human colorectal adenocarcinoma cells Caco-2 were studied. ALA significantly promoted NCM460 and Caco-2 migration, increased mucosal tight junction factors ZO-1 and OCLN expression, and ALA accelerated cell injury repair of both cells in wound healing assay. Western blot analysis indicated that ALA inhibited a variety of mitogen-activated protein kinase (MAPK) signaling pathways in the epithelial cells. In conclusion, ALA was beneficial to repair of intestinal epithelial injury by regulating MAPK signaling pathways.
Application of Tivantinib for Hepatocellular Carcinoma: A Meta-Analysis Study
Authors: Luo Guang-li , Guo Bian-qin , Wu Li-xiang , Shen Yan-xi , Xie Tingting
Published: June 2022

Objectives. The efficacy of tivantinib may have some potential in treating MET-high hepatocellular carcinoma, and we aim to compare tivantinib with placebo for the treatment of MET-high hepatocellular carcinoma. Methods. Several databases including PubMed, Cochrane Library, Web of Science, EBSCO, and EMbase have been systematically searched through March 2022, and we included studies regarding the treatment of MET-high hepatocellular carcinoma by using tivantinib versus placebo. Results. We finally include three RCTs. In comparison with placebo for MET-high hepatocellular carcinoma, tivantinib reveals no significant influence on overall survival (

P
=
0.21

), progression-free survival (

P
=
0.13

), time to progression (

P
=
0.38

), or grade ≥3 anemia (

P
=
0.50

) but increases the incidence of grade ≥3 neutropenia (

P
=
0.04

). Conclusions. Tivantinib may provide no additional benefits for MET-high hepatocellular carcinoma.
A Holistic Framework for Environment Conscious Based Material Selection and Experimental Assessment Using Digraph-Based Expert System
Authors: Arularasan A. N. , Mathew Manoj , Sudhakar M. , Sivakumar K. , Bhagavathi Perumal S. , Madhu P. , Sowmya Dhanalakshmi C. , Isaac JoshuaRamesh Lalvani J.
Published: June 2022

Finding a suitable biomass sample for the pyrolysis process with proper physicochemical properties is a challenging one as it has several criteria and attributes. Multicriteria decision-making (MCDM) represents a systematic approach for helping decision makers in diversified ﬁeld. In this study, the application of the digraph and matrix approach is described for the selection of the most appropriate biomass material for yielding more liquid oil via thermochemical conversion. A biomass material selection index (BMSI) is proposed that evaluates and ranks the selected materials. The index is derived from a material selection attributes function and acquired from a material selection attributes digraph. The digraph is developed making an allowance for material selection attributes and its relative importance related to pyrolysis. A sequential procedure to assess the biomass material selection index is recommended in this study. Among the selected materials, this study demonstrated a sunflower shell with a higher index. At the end of the study, the prediction is also validated by conducting the experimental research.
A Case Report of Premalignant Plasma Cell Dyscrasia-Induced Renal Failure in a 31-Year-Old Female
Authors: Bangolo Ayrton , Akhter Mahabuba , Jarri Amer , Kaur Manpreet , Atoot Ali , Jandir Parul , Ibrahim Mahmood , Manandhar Lochana , Atoot Adam
Published: June 2022

Monoclonal gammopathy of renal significance (MGRS) is a rare disorder in which monoclonal immunoglobulin secreted by nonmalignant B cell or plasma cell clone causes kidney damage. Although MGRS is a premalignant condition, it can cause severe kidney disease and end-stage renal disease (ESRD) at any age. Herein, we present a 31-year-old female with past medical history of lupus nephritis who presented with signs of volume overload and worsening renal function despite adequate immunosuppressive therapy. Renal biopsy revealed heavy and light chain deposition consistent with MGRS. This case report demonstrates the importance of including MGRS in the differential diagnosis of worsening renal function despite adequate treatment, raising awareness of this premalignant yet morbid condition.
Effects and Appraisal of Grain Subsidy Policy Based on Statistical Analysis
Authors: Hu Xiaoya
Published: June 2022

At present, the grain subsidies in China are mainly in forms of technical subsidies, like subsidies for superior seed varieties and general subsidies for agricultural production supplies and grain purchase prices. However, the purpose of the paper focuses on whether these subsidy policies can cause good effects and encourage farmers to grow grains and what impact these subsidy policies have on farmers’ income. The paper takes a specific area as a research object and sorts the data using the statistical analysis put in the paper. Considering the current agricultural production conditions, the paper studies the content and structure of grain subsidy policy and the changes in grain growing acreage, farmers’ income, and agricultural power machinery under the implementation of grain subsidy policy. In the end, the paper makes a research into the effect of implementing the grain subsidy policy, uses the statistical analysis to empirically analyze the impact the grain subsidy policy has on grain growing acreage, and draws a conclusion.
Therapeutic Effect and Prognosis of PiCCO in the Treatment of Myocardial Injury Complicated with Septic Shock
Authors: Lu Xuan , Zhai Huaixiang , Dong Yue , Su Fei , Xie Yongpeng , Wang Yanli , Wang Lili , Li Jiguang , Xu Ping
Published: June 2022

Objective. To explore the effect of pulse-induced contour cardiac output (PiCCO) monitoring on the survival and prognosis of patients with myocardial injury and septic shock. Methods. A total of 400 patients with MI and septic shock who were treated in our hospital from May 2018 to June 2021 were included in the study. They were randomly grouped into the PiCCO group (n=200) and the control group (n=200) according to whether PiCCO was used for monitoring during the treatment period. The clinical baseline characteristics of all the patients were recorded. For comparison, we recorded hemodynamic parameters including mean arterial pressure (MAP), central venous pressure (CVP), heart rate (HR), troponin I (TnI), brain natriuretic peptide (BNP), oxygen metabolism parameters including systemic central venous oxygen saturation (ScvO2), and lactate before and 6 h after intervention. In addition, white blood cell count (WBC) and C-reactive protein (CPR) levels before and 6 h, 24 h, 48 h, and 72 h after intervention were measured in both groups. Finally, the survival and prognostic parameters were compared between the two groups. Results. At 6 h after monitoring intervention, the hemodynamic parameters of the patients in the PiCCO group were significantly increased. Additionally, compared with the control group, the ScvO2 level was higher while the lactate level was lower in the PiCCO group. An intergroup comparison on inflammation also showed that WBC and CPR levels recovered better in the PiCCO group than in the control group. Moreover, patients with PiCCO monitoring showed better performance in outcome measures such as mortality, duration of invasive mechanical ventilation, length of hospital stay, duration of ventilator use, acute physiology and chronic health scores, and postoperative complications. Conclusion. With the monitoring and guidance of the PiCCO technique, the nursing outcomes, survival rate, and prognosis of patients with myocardial injury and septic shock can be improved.
A Consumption and Investment Problem via a Markov Decision Processes Approach with Random Horizon
Authors: Paredes Pérez Octavio , Vázquez Guevara Víctor Hugo , Cruz-Suárez Hugo
Published: June 2022

This work is devoted to a consumption and investment problem, in which there is an investor with certain initial wealth with the possibility of deciding how much of such wealth will be consumed and how much will be invested in each of a series of successive times. The key issue is to find a wealth assignation rule in order to maximize the performance criteria; such dilemma will be achieved by the dynamic programming technique for the Markov decision processes with random horizon.
An Overview on Mitochondrial-Based Therapies in Sepsis-Related Myocardial Dysfunction: Mitochondrial Transplantation as a Promising Approach
Authors: Mokhtari Behnaz , Yavari Rana , Badalzadeh Reza , Mahmoodpoor Ata
Published: June 2022

Sepsis is defined as a life-threatening organ failure due to dysregulated host response to infection. Despite current advances in our knowledge about sepsis, it is still considered as a major global health challenge. Myocardial dysfunction is a well-defined manifestation of sepsis which is related to worse outcomes in septic patients. Given that the heart is a mitochondria-rich organ and the normal function of mitochondria is essential for successful modulation of septic response, the contribution of mitochondrial damage in sepsis-related myocardial dysfunction has attracted the attention of many scientists. It is widely accepted that mitochondrial damage is involved in sepsis-related myocardial dysfunction; however, effective and potential treatment modalities in clinical setting are still lacking. Mitochondrial-based therapies are potential approaches in sepsis treatment. Although various therapeutic strategies have been used for mitochondrial function improvement, their effects are limited when mitochondria undergo irreversible alterations under septic challenge. Therefore, application of more effective approaches such as mitochondrial transplantation has been suggested. This review highlights the crucial role of mitochondrial damage in sepsis-related myocardial dysfunction, then provides an overview on mitochondrial-based therapies and current approaches to mitochondrial transplantation as a novel strategy, and proposes future directions for more researches in this field.
Predictors of Intestinal Parasites among Food Handlers in Goba Town, Southeast Ethiopia, 2020
Authors: Lette Abate , Negash Getahun , Kumbi Musa , Hussen Abduljewad , Kassim Jeylan , Zenbaba Demisu , Gezahgn Habtamu , Bonsa Mitiku , Aman Rameto , Abdulkadir Adem
Published: June 2022

Background. Globally, around 1.9 million people were dying due to food-borne diseases annually, and intestinal parasites infected one-third of the population, according to estimates and more prevalent in developing countries due to poverty. This study assessed predictors of intestinal parasites among food handlers working in Goba towns. Methods. A laboratory-based cross-sectional study was conducted from October to December 2020. Clean, dry, and leak-proof stool cups were used to collect the samples. The SPSS version 20 computer software was used to enter and clean the data, code it, and analyze it. The researchers performed binary and multivariable logistic regression analyses, with a

p

value of 0.05 considered significant. Result. A total of 98 (34%) of the 288 food workers tested positive for various intestinal parasites. Giardia lamblia was the most common parasite, with 42 (14.6%), followed by Entamoeba histolytica/dispar with 31 (10.8%), Ascaris lumbricoides with 8 (2.8%), Taenia species with 5 (1.7%), and E. vermicularis with 4 (1.4%). Six (2%) of the 98 positive food handlers had two infections. E. histolytica and G. lamblia were the most common parasites found in mixed infections. Hand washing with soap and water before handling food (AOR: 3.06, 95% CI: 1.16, 7.26) and untrimmed fingernail status (AOR: 2.3, 95% CI: 1.14, 4.34) were found to be strongly linked to intestinal parasite infection. Conclusion. In this investigation, intestinal parasite species were found in 34% of stool samples. Independent predictors of intestinal parasite infection were fingernail status and hand washing with water and soap use before food handling. To control intestinal parasite infection among food handlers in the research area, personal hygiene and ambient cleanliness should be improved.
The Mathematical Model of Integrated Coupling of Gas Reservoir-Wellbore-Choke in Sulige Gas Field, China
Authors: Han Zizi , An Yongsheng , Guo Ping , Jiang Chengyin , Feng Yinghai , Zhang Qiang
Published: June 2022

The tight sandstone gas has huge objective reserves in China and great potential for development. The Sulige gas field is the largest tight sandstone gas field in China. To prevent hydrates and reduce surface pipeline pressure, downhole throttling technology has been widely used in the Sulige gas field, China. Since gas wells in the Sulige gas field are prone to liquid accumulation during production, the installation of downhole chokes makes the liquid accumulation phenomenon of gas wells more complicated, and traditional methods are difficult to simulate and predict production performance. In order to solve this problem, based on the establishment of the gas reservoir seepage model, the wellbore pipe flow model, and the choke nozzle flow model, the gas reservoir-wellbore-choke integrated coupling mathematical model and its solution method were proposed. The case calculation of the choke well in the Sulige gas field is presented. The research results show that the new integrated coupled mathematical model can fully reflect the impact of choke installation and fishing on fluid accumulation and is effectively used for the production performance simulation of choke wells in the Sulige gas field.
Deep Learning Algorithm-Based Ultrasound Image Information in Diagnosis and Treatment of Pernicious Placenta Previa
Authors: Yang Xiao , Chen Zheng , Jia Xiaozhou
Published: June 2022

This study was to explore the value of the deep dictionary learning algorithm in constructing a B ultrasound scoring system and exploring its application in the clinical diagnosis and treatment of pernicious placenta previa (PPP). 60 patients with PPP were divided into a low-risk group (severe, implantable) and high-risk group (adhesive, penetrating) according to their clinical characteristics, B ultrasound imaging characteristics, and postpartum pathological examination results. Under PPP ultrasonic image information using the deep learning algorithm, the B ultrasound image diagnostic scoring system was established to predict the depth of various types of placenta accreta. The results showed that the cut-off values of severe, implantable, adhesive, and penetrating types were <2.3, 2.3-6.5, 6.5-9, and ≥9 points, respectively; there were significant differences in the termination of pregnancy and neonatal birth weight between the two groups (

P
<
0.05

); the positive predictive value, negative predictive value, and false positive rate of ultrasound images based on the deep dictionary learning algorithm for PPP were 95.33%, 94.89%, and 3.56%, respectively. Thus, the ultrasound image diagnostic scoring system based on the deep learning algorithm has an important predictive role for PPP, which can provide a more targeted diagnosis and treatment plan for patients in clinical practice and improve the prediction and treatment efficiency.
Investigation on Family Support System and Willingness of Patients to Participate in Cardiac Rehabilitation after Percutaneous Coronary Intervention
Authors: Sun Lianlian , Wu Tingting , Zhang Minyue , Huang Saiyan , Zeng Zhangfang , Wu Yujuan
Published: June 2022

Objective. We attempt to discuss the relationship between family support and willingness to participate in exercise rehabilitation in coronary heart disease patients after PCI to provide effective guidance for improving the quality of life of coronary heart disease patients after PCI. Methods. By convenient sampling, we selected 90 coronary heart disease patients in cardiology department from September 2021 to January 2022, using general information questionnaire, rehabilitation exercise knowledge, attitude, and behavior questionnaire of patients with coronary heart disease, and the social support scale to investigate the subjects. Results. The total score of knowledge, belief, and behavior in patients with coronary heart disease was 33.02 ± 6.28 points, the social support scale score was 39.63 ± 6.07 points, the multiple linear regression revealed that the educational level, history of cardiovascular disease, and the number of coronary stents of coronary heart disease patients after PCI are the main influencing factors that affect the willingness of coronary heart disease patients to participate in exercise rehabilitation. Conclusion. Rehabilitation exercise knowledge, belief, and behavior scores in coronary heart disease patients are low, and social support is negatively correlated with rehabilitation exercise in coronary heart disease patients.
The Potential of Wetlands as Treatment Systems for Organic Matter and Some Selected Metals (As, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Pb, and Zn): Case Study of Yitamot Wetland, Ethiopia
Authors: Kassa Yezbie , Mengistu Seyoum , Wondie Ayalew , Tibebe Dessie
Published: June 2022

Organic matter and some selected metals (As, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Pb, and Zn) were measured from water and sediment while plant samples from the inlet to the outlet sampling sites using standard procedures from three compartments (water, sediment, and macrophytes) of Yitamot wetland. Findings indicated that the mean concentration of COD in water was in the range of 5.25 mg/L and 208.25 mg/L and showed a significant and exponential decrease along the subsequent sampling sites (P < 0.05). The mean concentrations of K, As, Cd, and Cr (82.192 mg/kg, 0.730 mg/kg, 0.06 mg/kg, and 19.776 mg/kg, respectively) were significantly lower values in the outlet than in the inlet of the sediment samples (P < 0.05). All the metal concentrations in the aboveground tissue of macrophytes were significantly lower at the outlet sample site (P < 0.05) indicating that these compartments are contributing to the retention of metals and organic matter present in wastewater discharged in the wetland through sinks and conversions of these compounds. However, there was no significant removal effect for heavy metals like Fe, Zn, and As (P > 0.05). This is a pointer to the fact that natural wetlands can be used effectively for wastewater treatment with strong monitoring programs and ecological indicators for the sustainable management and conservation of the flora and fauna present in it.
Feasibility Analysis and Discrete Dynamic Modeling of Physical Education Teaching Strategy Based on Intelligent Computing
Authors: Wang Ge
Published: June 2022

With the advent of the information age, computer technology is also widely used in various fields. In the field of education, physical education teaching strategy has always been the focus of many educators. In order to optimize physical education teaching strategies and improve teaching quality, this paper proposes a new intelligent computing technology. This technology has excellent innovation in the engineering design field of physical education teaching strategy reform and innovation and combines Intelligent Computing with physical education teaching strategy to explore the feasibility and effectiveness of physical education teaching strategy reform and innovation. On the basis of intelligent computing algorithm, this paper analyzes the visualization strategy scheme brought by intelligent computing classroom to physical education teaching. This paper analyzes the feasibility of students’ feedback after the reform of the physical education teaching strategy. Finally, the big data discrete dynamic modeling technology is used to dynamically model and analyze the students’ learning behavior and effect after the reform and innovation of physical education teaching strategy. Combined with the analysis data and students’ behavior feedback, this paper analyzes the feasibility of the physical education teaching strategy after the reform and innovation. The results show that the visualization scheme of physical education teaching strategy based on intelligent computing can help students understand theoretical knowledge and realize the transformation from static classroom to dynamic classroom. It enhances students’ practical activities and perceptual knowledge and is of great help to students’ physical education learning effect. In the discrete dynamic modeling analysis, the feasibility of physical education teaching strategy reform is very important.
High‐Risk Polymorphisms Associated with the Molecular Function of Human HMGCR Gene Infer the Inhibition of Cholesterol Biosynthesis
Authors: Das Keshob Chandra , Hossain Mohammad Uzzal , Moniruzzaman Md , Salimullah Md , Akhteruzzaman Sharif
Published: June 2022

HMG‐CoA reductase or HMGCR (3‐hydroxy‐3‐methylglutaryl‐CoA reductase) is a rate‐limiting enzyme involved in cholesterol biosynthesis. HMGCR plays an important role in the possible occurrence of hypercholesterolemia leading to atherosclerosis and coronary heart disease. This enzyme is a major target for cholesterol‐lowering drugs such as “statin” which blocks the synthesis of mevalonate, a precursor for cholesterol biosynthesis. This study is aimed at characterizing deleterious mutations and classifying functional single nucleotide polymorphisms (SNPs) of the HMGCR gene through analysis of functional and structural evaluation, domain association, solvent accessibility, and energy minimization studies. The functional and characterization tools such as SIFT, PolyPhen, SNPs and GO, Panther, I‐Mutant, and Pfam along with programming were employed to explore all the available SNPs in the HMGCR gene in the database. Among 6815 SNP entries from different databases, approximately 388 SNPs were found to be missense. Analysis showed that seven missense SNPs are more likely to have deleterious effects. A tertiary model of the mutant protein was constructed to determine the functional and structural effects of the HMGCR mutation. In addition, the location of the mutations suggests that they may have deleterious effects because most of the mutations are residing in the functional domain of the protein. The findings from the analysis predicted that rs147043821 and rs193026499 missense SNPs could cause significant structural and functional instability in the mutated proteins of the HMGCR gene. The findings of the current study will likely be useful in future efforts to uncover the mechanism and cause of hypercholesterolemia. In addition, the identified SNPs of HMGCR gene could set up a strong foundation for further therapeutic discovery.
Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review
Authors: Hussain Shah , Mubeen Iqra , Ullah Niamat , Shah Syed Shahab Ud Din , Khan Bakhtawar Abduljalil , Zahoor Muhammad , Ullah Riaz , Khan Farhat Ali , Sultan Mujeeb A.
Published: June 2022

Medical imaging is the process of visual representation of different tissues and organs of the human body to monitor the normal and abnormal anatomy and physiology of the body. There are many medical imaging techniques used for this purpose such as X‐ray, computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), single‐photon emission computed tomography (SPECT), digital mammography, and diagnostic sonography. These advanced medical imaging techniques have many applications in the diagnosis of myocardial diseases, cancer of different tissues, neurological disorders, congenital heart disease, abdominal illnesses, complex bone fractures, and other serious medical conditions. There are benefits as well as some risks to every imaging technique. There are some steps for minimizing the radiation exposure risks from imaging techniques. Advance medical imaging modalities such as PET/CT hybrid, three‐dimensional ultrasound computed tomography (3D USCT), and simultaneous PET/MRI give high resolution, better reliability, and safety to diagnose, treat, and manage complex patient abnormalities. These techniques ensure the production of new accurate imaging tools with improving resolution, sensitivity, and specificity. In the future, with mounting innovations and advancements in technology systems, the medical diagnostic field will become a field of regular measurement of various complex diseases and will provide healthcare solutions.
Research on Neck Response of Elderly Drivers in Rear Collision
Authors: Wu Hequan , Deng Xiaoshun , Hu Lin , Liu Jin , Liu Xiaohao
Published: June 2022

In order to study the neck response of elderly drivers in rear collision, a finite element model for elderly neck was built. By comparing the cadaver experiment data in the literature, the simulation reliability of the head and neck model of the elderly under dynamic load was verified. Through the C‐NCAP rear‐end collision test on the elderly model, the study showed that the neck of the elderly driver had good dynamic response characteristics. The verified finite element model was used to analyze the head and neck collision response and injury risk of the elderly under different distances between the head and the headrest (vertical distance and horizontal distance). By analyzing the head and neck injuries of occupants at different distances, it was found that when the horizontal distance was 50 mm, and the vertical distance was between +10 and ~+20 mm, the headrest could play the best role in protecting the neck of the elderly driver and could reduce the degree of injury of the elderly driver in the process of rear collision.
A Hybrid Particle Swarm Optimizer for Curriculum Sequencing Problem
Authors: Peng Xianjie , Sun Xiaonan , He Zhen
Published: June 2022

Curriculum sequencing problem is crucial to e‐learning system, which is a NP‐hard optimization problem and commonly solved by swarm intelligence. As a form of swarm intelligence, particle swarm optimization (PSO) is widely used in various kinds of optimization problems. However, PSO is found ineffective in complex optimization problems. The main reason is that PSO is ineffective in diversity preservation, leading to high risks to be trapped by the local optima. To solve this problem, a novel hybrid PSO algorithm is proposed in this study. First, a competitive‐genetic crossover strategy is proposed for PSO to balance the convergence and diversity. Second, an adaptive polynomial mutation is introduced in PSO to further improve its diversity preservation ability. Furthermore, a curriculum scheduling model is proposed, where several constraints are taken into considerations to ensure the practicability of the curriculum sequencing. The numerical comparison experiments show that the proposed algorithm is effective in solving function optimization in comparison to several popular PSO variants; furthermore, for the optimization of the designed curriculum sequencing problem, the proposed algorithm shows significant advantages over the compared algorithms with respect to the degree of the satisfaction of the objectives, i.e., 20, 14, and 5 percentages higher, respectively.
The Clinical Value of Thyroid Hormone Levels and Correlation with Severity of Liver Cirrhosis
Authors: Liu Chang , Li Li , Zeng Li
Published: June 2022

Background. The aims of this study were to expound the effect of thyroid hormone on the occurrence of liver cirrhosis and the severity classification of liver cirrhosis with meta-analysis. Methods. A comprehensive search of PubMed, EMbase, The Cochrane Library, Web of Science, Google Scholar, CNKI, and WanFang Data databases and reference lists of retrieved articles was performed since the inception of each database until September 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias by RevMan 5.3 software. In continuous variable analysis, the standardized mean difference (SMD) and 95% confidence interval (95% CI) were calculated through a random-effect model. Results. Eighteen case-control studies involving 3336 subjects were included for review. The results of the meta-analysis showed free triiodothyronine (FT3) and free thyroxine (FT4) levels in the liver cirrhosis group were lower than the control group (SMD = −1.29, 95% CI [−1.85, −0.74],

P

 < 0.001), (SMD = −0.61, 95% CI [−0.96, −0.26],

P

 < 0.001), thyroid-stimulating hormone (TSH) levels in liver cirrhosis group were higher than the control group (SMD = 0.34, 95%CI [0.06, 0.63],

P

 < 0.001) and that FT3 levels in Child-Pugh A VS B and Child-Pugh B VS C group were higher than the control group (SMD = 1.08, 95%CI [0.80, 1.37],

P

 = 0.008), (SMD = 0.68, 95%CI [0.38, 0.98],

P

 < 0.001). Conclusions. Cirrhosis has decreased FT3 and FT4 levels and increased TSH levels. FT3 levels correlate negatively with the Child-Pugh score, and it is a measure of the severity of liver cirrhosis dysfunction. FT3 serum levels of thyroid hormones are a prognostic marker in liver cirrhosis.
The Effect of an Educational Intervention on Oral Health Literacy, Knowledge, and Behavior in Iranian Adolescents: A Theory‐Based Randomized Controlled Trial
Authors: Movaseghi Ardekani Fatemeh , Ghaderi Faezeh , Kaveh Mohammad Hossein , Nazari Mahin , Khoramaki Zakieh
Published: June 2022

Introduction. Oral health is one of the most important issues in public health. Most educational interventions, as the primary prevention strategy, are focused on increasing information and knowledge and are not usually effective. Therefore, the present study is aimed at determining the effect of theory‐based education on oral health behavior and its psychological determinants including dental health literacy. Method. This randomized controlled educational trial was conducted in two girls’ high schools that were selected by multistage cluster sampling and were divided into an intervention and a control group. Literacy, knowledge, oral health behavior, dental plaque index, and constructs of the protection motivation theory were evaluated before and one month after four training sessions. Finally, the data were entered into the SPSS 19 software and were analyzed using the chi‐square test, independent t‐test, and Mann–Whitney test at the significant level of 0.05. Result. Before the intervention, there was no significant difference between the intervention and control groups regarding the mean scores of knowledge, behavior, and oral health literacy; plaque index; and protection motivation theory constructs. After the educational intervention, however, the means of these variables were significantly improved in the intervention group compared to the controls (p < 0.05). Conclusion. The study findings were in favor of the effectiveness of the theory‐based educational intervention in improving the knowledge, literacy, and behavior related to oral health. Yet, further research is suggested to determine the effectiveness of such an intervention in male students as well as in populations with different socioeconomic and cultural statuses.
Flavonoids a Bioactive Compound from Medicinal Plants and Its Therapeutic Applications
Authors: Roy Arpita , Khan Ariba , Ahmad Irfan , Alghamdi Saad , Rajab Bodour S. , Babalghith Ahmad O. , Alshahrani Mohammad Y. , Islam Saiful , Islam Md. Rabiul
Published: June 2022

Plants generally secrete secondary metabolites in response to stress. These secondary metabolites are very useful for humankind as they possess a wide range of therapeutic activities. Secondary metabolites produced by plants include alkaloids, flavonoids, terpenoids, and steroids. Flavonoids are one of the classes of secondary metabolites of plants found mainly in edible plant parts such as fruits, vegetables, stems, grains, and bark. They are synthesized by the phenylpropanoid pathway. Flavonoids possess antibacterial, antiviral, antioxidant, anti‐inflammatory, antimutagenic, and anticarcinogenic properties. Due to their various therapeutic applications, various pharmaceutical companies have exploited different plants for the production of flavonoids. To overcome this situation, various biotechnological strategies have been incorporated to improve the production of different types of flavonoids. In this review, we have highlighted the various types of flavonoids, their biosynthesis, properties, and different strategies to enhance the production of flavonoids.
The Application Value of CT Three-Dimensional Microscope Reconstruction Technology in the Diagnosis of Cervical Cancer
Authors: Sun Shaoliang , Wang Xiye , Chen Yanjia
Published: June 2022

In order to study the application value of CT three-dimensional microscope reconstruction technology in the diagnosis of cervical cancer. In this paper, 232 patients with newly diagnosed stage IA-II A2 and some stage III C: cervical cancer (stage IB1-IIA2 of stage f go in 2009) were selected, and 204 patients with stage IB1-IIA2 of stage 2009 fig 0 were selected. The original data of DICOM were obtained by CT scanning and imported into mics10.01 software to complete lymph node reconstruction. The

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is used as the standard to judge whether the lymph node is metastatic. Referring to the 2018fig 0 staging standard, if it indicates that the lymph node is positive, it is IIICr stage. The gold standard is the diagnosis of III CP according to the surgical and pathological results, and then the diagnostic efficiency of III C stage is evaluated. The experimental results showed that 65 cases were diagnosed as IIIC stage, and 70 cases were diagnosed as IIICp stage. There was consistency between IIICr and IIICp stage, and the kappa value was 0.340. Using CT multiphase enhanced scanning and three-dimensional reconstruction technology to diagnose cervical cancer has high detection rate and high accuracy of staging diagnosis, which is worthy of clinical application.
Evaluation of In Vitro Antiprotease Activity of Selected Traditional Medicinal Herbs in Dentistry and Its In Silico PASS Prediction
Authors: Assiry Ali A. , Bhavikatti Shaeesta Khaleelahmed , Althobaiti Fahad A. , Mohamed Roshan Noor , Karobari Mohmed Isaqali
Published: June 2022

Background. Dental/oral diseases are one of the significant public health problems globally. Herbal medicines for managing oral diseases are considered an effective alternative to synthetic compounds due to their lower side effect. Azadirachta indica, Terminalia chebula, Camellia sinensis, and Piper nigrum are used to control and prevent oral inflammations in dentistry. In this study, we have evaluated the protease inhibition activity of these plant extracts, and further, the binding mode of the active ingredient of these plants with trypsin was studied using molecular docking. Methods. In this study, protease inhibition activity was carried out using aqueous extracts of the plant parts such as Azadirachta indica (neem) twig, Terminalia chebula (Haritaki) fruit, Camellia sinensis (green tea) powder, and Piper nigrum (kali miri) seed. Next, to explore the binding mode of active ingredients azadirachtin, chebuligenic acid, catechin, and piperine with trypsin, we employed a molecular docking study using AutoDock4.2. Results. The results revealed that the Azadirachta indica plant extract showed an IC50 value of 96.19 μg mL-1, Camellia sinensis IC50 value of 188.50 μg mL-1, Piper nigrum IC50 value of 371.20 μg mL-1, and Terminalia chebula IC50 value of 639.48 μg mL-1, when compared with standard drug diclofenac sodium, had IC50 value 93.00 μg mL-1. Further, the docking result reveals that all the main active ingredients of these plants have significant binding affinity and prefer the same binding pocket of trypsin. Conclusion. Hence, our results show the importance of traditional plants Azadirachta indica, Terminalia chebula, green tea, and Piper nigrum to control oral disease conditions. As they show significant protease inhibition activity, hence, the active ingredient could act as a potential anti‐inflammatory agent and further help to prevent or control oral disease conditions such as gingivitis and periodontitis.
Malaria Threatens to Bounce Back in Abergele District, Northeast Ethiopia: Five‐Year Retrospective Trend Analysis from 2016‐2020 in Nirak Health Center
Authors: Debash Habtu , Erkihun Yonas , Bisetegn Habtye
Published: June 2022

Background. In Sub‐Saharan African countries, malaria is a leading cause of morbidity and mortality. In Ethiopia, malaria is found in three‐fourths of its land mass with more than 63 million people living in malaria endemic areas. Nowadays, Ethiopia is implementing a malaria elimination program with the goal of eliminating the disease by 2030. To assist this goal, the trends of malaria cases should be evaluated with a function of time in different areas of the country to develop area‐specific evidence‐based interventions. Therefore, this study was aimed at analysing a five year trend of malaria in Nirak Health Center, Abergele District, Northeast Ethiopia, from 2016 to 2020. Methods. A retrospective study was conducted at Nirak Health Center, Abergele District, Northeast Ethiopia from February to April 2021. Five‐year (2016 to 2020) retrospective data were reviewed from the malaria registration laboratory logbook. The sociodemographic and malaria data were collected using a predesigned data collection sheet. Data were entered, cleaned, and analysed using SPSS version 26. Results. In the five‐year period, a total of 19,433 malaria suspected patients were diagnosed by microscopic examination. Of these, 6,473 (33.3%) were positive for malaria parasites. Of the total confirmed cases, 5,900 (91.2%) were P. falciparum and 474 (7.2%) were P. vivax. Majority of the cases were males (62.2%) and in the age group of 15‐45 years old (52.8%). The findings of this study showed an increasing trend in malaria cases in the past five years (2016‐2020). The maximum number of confirmed malaria cases reported was in the year 2020, while the minimum number of confirmed malaria cases registered was in 2016. Regarding the seasonal distribution of malaria, the highest number of malaria cases (55.2%) was observed in Dry season (September to January) and also the least (15.9%) was observed in Autumn (March to May) replaced by the least (21.6%) was observed in Rainy season (June to August), that is, the major malaria transmission season in Ethiopia and the least (15.9%) was observed in autumn (March to May). Conclusion. The trends of malaria in Nirak Health Center showed steadily increasing from the year 2016–2020, and the predominant species isolated was P. falciparum. This showed that the malaria control and elimination strategy in the area were not properly implemented or failed to achieve its designed goal. Therefore, this finding alarms the local governments and other stack holders urgently to revise their intervention strategies and take action in the locality.
Machine Learning Technique for Precision Agriculture Applications in 5G-Based Internet of Things
Authors: Murugamani C. , Shitharth S. , Hemalatha S. , Kshirsagar Pravin R. , Riyazuddin K. , Naveed Quadri Noorulhasan , Islam Saiful , Mazher Ali Syed Parween , Batu Areda
Published: June 2022

Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand and give exact data extraction and analysis. The main objective of this paper is to detect the most appropriate plant development parameters. This paper has the concept of reducing the hazards in agriculture and promoting intelligent farming. Advancement in agriculture is not new, but the AI-based wireless sensor will push intelligent agriculture to a new standard. The research goal of this work is to improve the prediction state using image processing-based machine learning techniques. The main objective of the paper, as described above, is to detect and control cotton leaf diseases. This paper comprises several aspects, including leaf disease detection, remote monitoring system depending on the server, moisture and temperature sensing, and soil sensing. Insects and pathogens are typically responsible for plant diseases that reduce productivity if not timely. This paper presents a method to monitor the soil quality and prevent cotton leaf diseases. The proposed system suggested uses a regression technique of artificial intelligence to identify and classify leaf diseases. The information would be delivered to farmers through the Android app after infection identification. The Android app also allows soil parameter values like moisture, humidity, and temperature to be displayed along with the chemical level in a container. The relay may be on/off to regulate the motor and chemical sprinkler system as required by using the Android app. In the proposed system, the SVM algorithm delivers the best accuracy in detecting various diseases and demonstrates its efficiency in the detection and control by the improvement of cultivation for the farmers.