bluuebunny/crossref_metadata_2025 huggingface dataset:
Oxytetracycline Degrading Potential of Lysinibacillus sp. Strain 3+I Isolated from Poultry Manure
Authors: Sudha Suruttaiyan , Parthasarathi Nivethitha , Prabha Duraisamy , Velmurugan Palanivel , Sivakumar Subpiramaniyam , Anitha Vijayakumar , Shrestha Anupama , Chinnathambi Arunachalam , Alharb Sulaiman Ali , Lakshmanaperumalsamy Perumalsamy
Published: March 2022

Oxytetracycline (OTC) which is a broad-spectrum veterinary tetracycline antibiotic is extensively used in poultry farms as a prophylactic, therapeutic, and growth stimulator. Upon administration, unmetabolized OTC is excreted from the animal body through droppings and accumulated in litter in the poultry industry. This study aimed at investigating the OTC degradation potential of an-OTC tolerant bacterial strain, isolated from poultry manure. The isolated strain’s morphology, biochemical properties, and 16S ribosomal RNA (rRNA) gene sequence confirmed that it belonged to the Lysinibacillus genus. To measure the residual OTC concentration, a high-performance liquid chromatography method was used. OTC degradation rates were 2.579 mg L−1d−1 with Lysinibacillus strain 3+I and 1.149 mg L−1d−1 without Lysinibacillus strain 3+I. In the presence of strain 3+I, the half-life significantly reduced to 2.68 days, compared to 6.03 days without strain 3+I. The strain demonstrated 85% removal with the OTC concentration of 10 μg/ml. The influence of pH, temperature, carbon sources, and nitrogen source, which influence degradation, were also investigated. The optimum condition favouring degradation was pH 6 at a temperature of 30°C. In addition, Lysinibacillus sp. strain 3+I’s ability to degrade OTC in poultry litter offers a promising approach to treat poultry manure and effluent containing OTC, preventing its contamination in the environment.
Optimized Convolutional Neural Network-Based Capacity Expansion Framework for Electric Vehicle Charging Station
Authors: Monikandan A. S. , Chellaswamy C. , Geetha T. S. , Sivaraju S. S.
Published: March 2022

The usage rate of electric vehicles (EVs) is gradually increasing. Recharging of EVs should be carried out repeatedly over time, and the energy needed for this is high and increasing. With the present infrastructure, we cannot supply the required energy, and therefore, we need to implement a model that expands the power grid to satisfy our energy requirements. This paper proposes a convolutional neural network-based dynamic capacity expansion (CNN-DCE) for EV charging. Flower pollination optimization algorithm (FPOA) was used to improve the hyperparameters of CNN during training. The main aim is to reduce the cost of installing additional capacity resources and to reduce the operational cost. To cope with the load growth, different capacity resources are installed at different years of the planning boundary. Five statistical indices, such as mean squared error, mean absolute error, correlation coefficient, and scatter index, are used to evaluate the performance of CNN. The capacity expansion plan in the microgrid is achieved by expanding the energy of battery energy storage systems, microturbines, and solar and wind energy systems. The queuing delay for the EVs waiting in a queue for recharging has been considered. The performance of the proposed CNN-DCE is studied and compared with three other state-of-the-art methods. The results show that the resources reduce the planning cost to 26% for the short-term planning horizon, the long-term plan has 150% of the expansion, and the wind energy system covers 48% of the expansion cost.
Treatment and Impacts of Chronic Sinusitis with the Confluence of Biyuan Tongqiao Granules and Saline Nasal Irrigation
Authors: Ma Fei , Xu Lian , Ai Ping
Published: March 2022

In this research study, we will study the clinical effect of Biyuan Tongqiao granules with saline nasal irrigation for treatment of chronic sinusitis. It will also study its impacts on the computed tomography (CT) score of the nasal sinus and negative reactions in patients. For this purpose, ninety (90) patients with chronic sinusitis were admitted to the hospital (June 2019 to June 2020). They were selected as the research subjects and divided into experimental and control groups randomly with 45 cases in each group. Control group patients were treated with nasal irrigation with normal saline. While, Biyuan Tongqiao granules combined with nasal irrigation with normal saline was treated by the experimental group. The CT scores of nasal sinus, clinical effect, the incidence of adverse reactions, recurrence rate, duration of nasal mucosal epithelialization, and nasal ciliary transmission speed of both the groups were compared. The patients’ pain was assessed by the visual analogue scale (VAS), and the symptoms of sinusitis were scored by the SNOT-20 scale. The experimental group showed significantly lower sinus CT scores and better clinical effects. Adverse reactions were not observed in both the groups’ probability (

P
>
0.05

). The experimental group presented a significantly lower recurrence rate, shorter duration of nasal mucosal epithelialization, faster nasal ciliary transmission, and sharply lowers VAS scores and SNOT-20 scores than in the control group (

P
<
0.05

). This proves Biyuan Tongqiao granules and nasal irrigation with normal saline can effectually boost the clinical efficacy and lessen the computed tomography score of nasal sinus in chronic sinusitis patients. It has a worthy clinical application and promotion.
The Clinical Risk Factors of Adenovirus Pneumonia in Children Based on the Logistic Regression Model: Correlation with Lactate Dehydrogenase
Authors: Liu Yuqiao , Shen Yang , Wei Botao
Published: March 2022

Background and Objective. Adenovirus pneumonia is a severe disease in children. Constructing a prognostic model contributes to individualized treatment of children with adenovirus pneumonia. Thus, a machine learning model was constructed in this study to explore the clinical and baseline characteristics of pneumonia and predict the type of pneumonia. Methods. Children with bacterial pneumonia (41 cases) and adenovirus pneumonia (179 cases) hospitalized in Tianjin Children’s Hospital from January to October 2020 were selected. The differences in baseline and clinical characteristics between children with two pneumonias, respectively, were compared via the chi-square test and Wilcox test. The Least Absolute Shrinkage and Selection Operator (LASSO) model was applied to screen the pneumonia type-related characteristics. Patients were randomly divided into the training set (n = 154) and test set (n = 66). The logistic model was constructed using the screened characteristics in the training set to predict whether the cases are bacterial pneumonia or adenovirus pneumonia. Finally, the model was validated by receiver operating characteristic (ROC) curve and area under curve (AUC) in the test set. Results. The age (

p
<
0.001

), hospital stay (

p
<
0.001

), tonsil condition (

p
<
0.001

), interleukin-6 (IL-6;

p
=
0.033

), and lactate dehydrogenase (LDH;

p
<
0.001

) between children with bacterial pneumonia and adenovirus pneumonia were significantly different. Sex, tonsil condition, age, hospital stay, r-glutamyltransferase (r-GT), and LDH levels were the factors associated with the types of pneumonia. Compared with bacterial pneumonia, children with adenovirus pneumonia were younger (OR = 0.207, 95% CI: 0.041–0.475), with longer hospital stay (OR = 7.974, 95% CI: 2.626–74.354) and higher LDH expression level (OR = 1.025, 95% CI: 1.006–1.060). 92.4% types of pneumonia were correctly predicted, and the AUC value of the model was 0.981. Conclusion. The LDH level was the associated factor to predict the types of pneumonia. Adenovirus pneumonia was associated with earlier age and longer hospital stay than bacterial pneumonia. The established model can well predict the types of pneumonia in children and provide clinical basis for guiding the individualized treatment of children.
Deep Collaborative Online Learning Resource Recommendation Based on Attention Mechanism
Authors: Hao Cuiping , Yang Ting
Published: March 2022

In view of the lack of hierarchical and systematic resource recommendation caused by rich online learning resources and many learning platforms, an attention-based ADCF online learning resource recommendation model is proposed by introducing the attention mechanism into a deep collaborative DCF model. Experimental results show that the proposed ADCF model enables an accurate recommendation of online learning resources, reaching 0.626 and 0.339 on the HR and NDCG metrics, respectively, compared to the DCF models before improved, up by 1.31% and 1.25%, and the proposed ADCF models by 1.79%, 2.17%, and 2.32%, respectively, compared to the IUNeu and NeuCF models.
Investigation of the Antibacterial and Antibiofilm Activity of Selenium Nanoparticles against Vibrio cholerae as a Potent Therapeutics
Authors: Bagheri-Josheghani Sareh , Bakhshi Bita
Published: March 2022

Vibrio cholerae is a major cause of severe diarrhea, which is ecologically flexible, and remains as a major cause of death, especially in developing countries. Consecutive emergence of antibiotic-resistant strains is considered to be as one of the major concerns of the World Health Organization (WHO). Nanoparticles as a new nonantibiotic therapeutic strategy have been widely used in recent years to treat bacterial infections. The present study aimed to investigate the antibacterial and antibiofilm effect of selenium nanoparticles (SeNPs) in vitro against V. cholerae O1 ATCC 14035 strain. SeNPs were prepared and characterized using ultraviolet-visible (UV-Vis) spectroscopy, DLS (dynamic light scattering), zeta potential measurement, and Fourier transform infrared (FTIR) analysis. The concentration of SeNPs was calculated by ICP (inductively coupled plasma) method. Also, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay was employed to assess the cytotoxic effect of SeNPs on Caco-2 cells. Antibacterial and antibiofilm activity of SeNPs was determined by broth microdilution and crystal violet assays, respectively. The average particle size of SeNPs was 71.1 nm with zeta potential −32.2 mV. The SEM images supported the uniform spherical morphology of the prepared nanoparticles. The antibiofilm effect of SeNPs was evident at concentrations of 50–200 μg/mL. This study results provided evidence that SeNPs are safe as an antibacterial and antibiofilm agent against V. cholerae O1 ATCC 14035 strain.
Wind-Induced Response Analysis for a Fatigue-Prone Asymmetric Steel Arch Bridge with Inclined Arch Ribs
Authors: Su You-Hua , Wu Yan-Ru , Sun Qing
Published: March 2022

Steel arch bridges with inclined arch ribs under strong wind fields are prone to fatigue damage due to the stress concentration at the position of hanger connections. Therefore, it is essential to perform the wind-induced response analysis for specified shape hangers, such as inclined hangers, to determine the stress distribution and corresponding influencing factors. In this study, wind-induced response analysis for a fatigue-prone asymmetric steel arch bridge with inclined arch ribs is performed by the numerical simulation approach. The investigated bridge hangers’ models are established by using the COMSOL Multiphysics software. The wind-induced stress of the bridge hangers under different wind directions is obtained based on the finite element method. The influential factor of the stress distribution of the bridge hangers on both the windward side and the leeward side is discussed. In addition, the stress peaks of the long hanger and short hanger are achieved for further fatigue analysis. This paper provides a reference for determining the critical fatigue-prone position of an asymmetric steel arch bridge with inclined arch ribs.
A Novel Formula Comprising Wolfberry, Figs, White Lentils, Raspberries, and Maca (WFWRM) Induced Antifatigue Effects in a Forced Exercise Mouse Model
Authors: Yang Caixia , Yang Jingyan , Tan Li , Tang Pan , Pen Ting , Gao Tinghui , Liu Sijing , Guo Jinlin
Published: March 2022

Long-term body fatigue poses a threat to human health. To explore novel sources of antifatigue medicine and food, we developed a novel formula composed of wolfberry, figs, white lentils, raspberries, and maca (WFWRM) according to the theory of traditional Chinese medicine. In this study, we explored whether the administration of the WFWRM relieves fatigue. Thirty male Kunming mice were divided into three groups, which received either intragastric administration of saline, vitamin C (100 mg/kg), or WFWRM (1.00 g/kg) every day. After 30 days of treatment, all mice exhaustively performed weight-bearing swimming. Another ten mice that did not perform swimming were treated with saline for 30 days and used as sedentary control. The antifatigue effect and biochemical oxidation phenomena were assessed in the exercise-exhausted model and sedentary controls. The histopathological changes in the liver and kidney tissues of mice were observed by performing hematoxylin-eosin (HE) staining. After 30 days of oral administration, the liver and kidney tissues of mice were healthy and show no pathological changes. Compared to the fatigue model group, WFWRM significantly increased the rota-rod time of the mice. Also, the concentrations of lactic acid (LA), blood urea nitrogen (BUN), creatine kinase (CK), and lactate dehydrogenase (LDH) in the WFWRM group significantly reduced. On the contrary, the levels of hepatic glycogen (LG), muscle glycogen (MG), and serum glucose (GLU) increased in the WFWRM group. Besides, WFWRM markedly reduced the levels of malondialdehyde (MDA) but increased the levels of glutathione peroxidase (GSH-PX) and superoxide dismutase (SOD). Pearson correlation analysis indicated that the concentrations of the sources of energy (LG, MG, and GLU) significantly correlated with those of metabolites (BLA, BUN, CK, and LDH) and antioxidant levels (SOD, GSH-PX, and MDA). Overall, our results suggested that the supplementation of WFWRM could improve exercise capacity and relieve fatigue probably by normalizing energy metabolism and attenuating oxidation.
Comparative Plastome Analysis of Three Amaryllidaceae Subfamilies: Insights into Variation of Genome Characteristics, Phylogeny, and Adaptive Evolution
Authors: Cheng Rui-Yu , Xie Deng-Feng , Zhang Xiang-Yi , Fu Xiao , He Xing-Jin , Zhou Song-Dong
Published: March 2022

In the latest APG IV classification system, Amaryllidaceae is placed under the order of Asparagus and includes three subfamilies: Agapanthoideae, Allioideae, and Amaryllidoideae, which include many economically important crops. With the development of molecular phylogeny, research on the phylogenetic relationship of Amaryllidaceae has become more convenient. However, the current comparative analysis of Amaryllidaceae at the whole chloroplast genome level is still lacking. In this study, we sequenced 18 Allioideae plastomes and combined them with publicly available data (a total of 41 plastomes), including 21 Allioideae species, 1 Agapanthoideae species, 14 Amaryllidoideae species, and 5 Asparagaceae species. Comparative analyses were performed including basic characteristics of genome structure, codon usage, repeat elements, IR boundary, and genome divergence. Phylogenetic relationships were detected using single‐copy genes (SCGs) and ribosomal internal transcribed spacer sequences (ITS), and the branch‐site model was also employed to conduct the positive selection analysis. The results indicated that all Amaryllidaceae species showed a highly conserved typical tetrad structure. The GC content and five codon usage indexes in Allioideae species were lower than those in the other two subfamilies. Comparison analysis of Bayesian and ML phylogeny based on SCGs strongly supports the monophyly of three subfamilies and the sisterhood among them. Besides, positively selected genes (PSGs) were detected in each of the three subfamilies. Almost all genes with significant posterior probabilities for codon sites were associated with self‐replication and photosynthesis. Our study investigated the three subfamilies of Amaryllidaceae at the whole chloroplast genome level and suggested the key role of selective pressure in the adaptation and evolution of Amaryllidaceae.
The Effect of a Compound Protein on Wound Healing and Nutritional Status
Authors: Wang Xue , Yu Zhangping , Zhou Shengnan , Shen Shiwei , Chen Wei
Published: March 2022

Proteins provide the main building blocks for tissue growth, cell renewal, and repair during wound healing. We aimed to examine the effect of a compound protein on wound healing, nutritional status, and underlying mechanisms. We first performed a preliminary experiment to identify the appropriate wound healing assessment points. In the formal experiment, there were five groups (control group: 8.3750 g/kg/day saline solution; model group: 8.3750 g/kg/day saline solution; whey protein group: 8.3750 g/kg/day whey protein; low-dose compound protein group: 4.1875 g/kg/day compound protein; and high-dose compound protein group: 8.3750 g/kg/day compound protein) with eight rats in each group. At each turning point, we observed the wound healing rate and nutritional status of the different groups of rats. In addition, biochemical assays were used to determine the mechanisms underlying the effects of the compound protein. In the preliminary experiment, the third day after modeling was the turning point between the inflammatory and proliferation phases, and the eighth day was the turning point between the proliferation and remodeling phases. The formal experiment evaluated wound healing condition, inflammatory response, angiogenesis, collagen deposition, and nutritional status. A pathological report showed increased vascularization, collagen deposition, and epithelialization in compound protein-treated groups. Protein-treated mice showed decreased interleukin (IL)-6, IL-8, neutrophils, and lymphocytes and increased IL-10, albumin, prealbumin, total protein levels, insulin-like growth factor 1 (IGF-1), fibroblast growth factor 2 (FGF-2), and vascular endothelial growth factor (VEGF) expressions. All parameters were significant (

p
<
0.05

) compared to the model group. There was a dose-dependent effect of the compound protein. The accelerated wound healing mechanism may be that the compound protein accelerates the whole wound healing process, making wounds transition from the inflammatory phase to the proliferation phase faster, entering the remodeling phase earlier. Administration of a compound protein can accelerate wound healing and improve the nutritional status.
Assessing the Efficacy of the Early Rehabilitation Pathway in Combination with Morita Therapy after Hip and Knee Arthroplasty
Authors: Yi Xin , Lee Jong Hak , Yu Xiaogui , Yi Guoliang , Lee Ho Seong
Published: March 2022

Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are effective methods for the treatment of end-stage osteoarthritis. Furthermore, rehabilitation training and psychological interventions play significant roles in the recovery of hip and knee joint function after THA and TKA. A total of 46 patients who received hip replacement and knee replacement are equally divided into two groups, with the control group being prescribed routine rehabilitation intervention and the observation group prescribed an early rehabilitation pathway with Morita therapy intervention. According to the results, the observation group displayed a significantly decreased incidence of deep venous thrombosis, while simultaneously reducing the recovery time of lower limb function (

P
<
0.05

), including straight leg raising time, walking time, and vertical knee flexion time. In addition, the treatment program demonstrates a significant ability to improve the joint function score, pain score, quality of life score, and range of motion score (

P
<
0.05

). Moreover, serum D-dimer, fibrin degradation products (FDP), and femoral vein blood flow peak also are significantly reduced (

P
<
0.05

). Therefore, we have determined that an early rehabilitation pathway combined with Morita therapy can effectively reduce stress pain, improve the recovery process of joint motor function, and reduce the incidence of thrombosis. However, an increased sample size would facilitate the confirmation of the safety and efficacy of the program. In addition, the overall financial expenditure and feasibility of the treatment need to be considered.
Study on Road Performance of Cement‐Stabilized Recycled Aggregate Base with Fiber and Rubber
Authors: Chen Yuanzhao , Li Zhenxia , Wang Jin , Wang Chaohui , Guan Jian , Zhang Lei , Wang Xinqi , Hu Xiaguang , Zhang Yajie , Chen Haijun , Li Yanwei
Published: March 2022

The purpose is to enhance the recycling utilization rate of old base material and make the cement‐stabilized recycled aggregate (RCA) maintain good toughness and crack resistance; rubber particles and basalt fiber admixtures were added to the recycled aggregate. The effects of two different dosages of admixtures on the mechanical properties of the mixture were analyzed; the durability of cement‐stabilized base was evaluated; the influence of basalt fiber and rubber particles on the road performance of cement‐stabilized recycled aggregate was studied; and scanning electron microscopy was used to analyze the cement‐stabilized recycled aggregate mixed with two kinds of admixture. The results show that the increase of basalt fiber dosage improves the mechanical properties of the mixture. The dry shrinkage strain of the mixture decreases, and the frost resistance coefficient increases, indicating that the increase of rubber particles improves the durability of the mixture. When the rubber particles dosage is 0.5%, the basalt fiber dosage is 0.1%, and the recycled aggregate dosage is 50%, the comprehensive rode performance of the mixture is the best. Rubber particles can effectively improve the frost resistance and dry shrinkage of the mixture through its own deformation and shrinkage without damage and slow down the tensile stress caused by dry shrinkage and the compressive stress caused by frost heave. The easy bonding effect of basalt fiber and its pullout effect in the mixture increase the compressive strength and dry shrinkage resistance of the mixture.
Construction and Application Analysis of University Management System Based on Association Rule Mining Algorithm Apriori
Authors: Zhu Xuefeng , Zong Yuan
Published: March 2022

With the rapid development of data mining and dynamic data modeling, this technology has been applied in most groups. In recent years, with the continuous development of the data processing technology, society has entered the digital era. Big data technology is widely used in economics, medicine, computer, and other fields. Based on the development status of the big data technology, an association rule mining algorithm Apriori is proposed to study the characteristics of massive data in a university management system. Combined with the big data discrete dynamic modeling technology, the cloud storage problem in the management system is optimized and improved. Dynamic modeling technology is used to optimize the energy-saving and energy storage functions of the system. Secondly, the Apriori algorithm is used to mine the student achievement data, and the factors affecting the change of student achievement are analyzed. Finally, the running efficiency of the whole university management system is dynamically modeled and analyzed. The results show that the system performance of Apriori algorithm mining has high client compatibility. Association rule algorithm is mainly used in student personality analysis and personal information management, The algorithm used in this paper can optimize the overall performance of the university management system and has certain effectiveness and applicability. It can quickly query the required information under the background of big data and has strong applicability. Dynamic modeling and optimization of the storage system can also improve the utilization of the storage system.
A Review on Factors Influencing the Fermentation Process of Teff (Eragrostis teff) and Other Cereal-Based Ethiopian Injera
Authors: Mengesha Yizengaw , Tebeje Alemu , Tilahun Belay
Published: March 2022

Fermented foods and beverages are the product of the enzymaticcally transformed food components which are acived by different microorganisms. Fermented foods have grown in popularity in recent years because of their alleged health benefits. Biogenic amines, bioactive peptides, antinutrient reduction, and polyphenol conversion to physiologically active chemicals are all possible health benefits of fermentation process products. In Ethiopian-fermented foods, which are mostly processed using spontaneous fermentation process. Injera is one of the fermented food products consumed in all corners of the country which sourdough fermentation could be achieved using different LAB and yeast strains. Moreover, the kind and concentration of the substrate and the type of microbial flora, as well as temperature, air supply, and pH, all influence the fermentation process of injera. This review article gives an overview of factors influencing the fermentation process of teff ('Eragrostis tef.') and other cereal-based Ethiopian injera.
Reinforcement Model of Green Building Materials Based on Grey Neural Networks
Authors: Zheng Dengdeng , Wang Guojie , Li Yongjin
Published: March 2022

With the rapid growth of China’s economy, all kinds of large or super-large buildings are constantly emerging, people pay more and more attention to building safety and environmental protection, and the reinforcement technology of green building materials plays an increasingly important role. The design involves a wide range of reinforcement. In the concrete design, it is necessary to comprehensively consider various factors, improve the safety of material structure through effective measures and ways, and realize the stable development of the construction industry. This paper analyzes and discusses the reinforcement design of green building materials. Grey model and NN model are two commonly used models in building prediction. This paper applies it to the reinforcement of green building materials and constructs a combined grey NN model. It combines the advantages of grey theory model and artificial NN model. Through the organic combination of grey theory and NN model, complex uncertain problems can be solved. It will be used in data processing of reinforcement monitoring and can get ideal calculation results. The reinforcement design in this paper can improve the use safety of buildings and realize the stability and sustainable development of the industry.
Feasibility and Efficacy of a Degradable Magnesium‐Alloy GBR Membrane for Bone Augmentation in a Distal Bone‐Defect Model in Beagle Dogs
Authors: Yan Zi-Yu , Zhu Jian-Hua , Liu Guan-Qi , Liu Zhi-Chao , Guo Chuan-Bin , Cui Nian-Hui , Han Jian-Min
Published: March 2022

We explored the feasibility and efficacy of a degradable magnesium (Mg) alloy guided bone regeneration (GBR) in the treatment of bone defects after tooth extraction. A GBR membrane (MAR‐Gide (MG)) was used to treat a mandibular second molar (M2M)‐distal bone defect (DBD). In eight beagle dogs, bilateral mandibular second and fourth premolars were hemi‐sected. The distal roots were removed to create a two‐wall bony defect of dimension 5 mm × 5 mm × 5 mm to simulate M2M‐DBD. Thirty‐two bone defects were assigned randomly into four groups according to GBR membranes (MG and Bio‐Gide (BG)) applied and the time of killing (3 months and 6 months after surgery). The osteogenesis of bone defects and MG degradation were analyzed using micro‐CT, histology (staining, tartrate‐resistant acid phosphatase), and inductively coupled plasma mass spectrometry. MG did not increase the prevalence of infection, wound dehiscence, or subcutaneous emphysema compared with those using BG. Trabecular volume/total volume at 3 months (63.71 ± 10.4% vs. 59.97 ± 8.94%) was significantly higher in the group MG than that in the group BG. Implanted MG was degraded completely within 3 months, and “island‐shaped” new bone was found near MG degradation products. A significant difference was not found in vertical bone height or percent of new bone formation (45.44 ± 12.28% vs. 43.49 ± 7.12%) between the groups. The concentration of rare‐earth elements in mandibular lymph nodes of the group MG was significantly higher than that of the group BG (P ≤ 0.017) but did not lead to histopathological changes. In summary, MG exhibited good biocompatibility and clinical applicability compared with BG in vivo. The osteogenic effect of MG could be enhanced by regulating the degradation rate of Mg‐alloy.
Understanding the Influence of Communication on Employee Work Satisfaction: Perspectives from Decentralised Government Institutions in the Oti Region, Ghana
Authors: Amadu Mohammed Faisal , Anyarayor Bismark Kwaku
Published: March 2022

The study examines the influence of organisational communication on employees’ work satisfaction drawing on perspectives from the Oti Regional Coordinating Council in Ghana. The descriptive survey method was adopted to gather data from 100 respondents who were selected through a probability sampling method. The study deplored the quantitative method of data analysis. The data derived for this study were analysed using both descriptive and inferential statistical tools. Statistical tools such as cross-tabulation, mean, standard deviation, and linear multiple regression analysis were used to analyse the data. Findings from the study show that the channels operational in the organisation as tools of communication are face-to-face discussions, e-mails, memos, departmental meetings, group/team discussions, in-house training sessions, management/employee briefing sessions, labour union meetings, suggestion boxes, notices, and assemblies. Further findings reveal that most of the employees are satisfied with the corporate communication tools used in the organisation. Findings reveal a significant relationship between organisational communication and employee motivation which further enhances employee job performance. Organisations that want to successfully retain a satisfied workforce must be willing to employ a communication style that is more participative and employee-supportive. Based on the study findings the following recommendation was made: organisations should ensure that their internal communication networks are coordinated by experts in corporate communication. This can be achieved by creating full-time jobs for people who have received training in the communication discipline.
Lung Nodule Segmentation and Recognition Algorithm Based on Multiposition U-Net
Authors: Zhang Na , Lin Jianping , Hui Bengang , Qiao Bowei , Yang Weibo , Shang Rongxin , Wang Xiaoping , Lei Jie
Published: March 2022

Lung nodules are the main lesions of the lung, and conditions of the lung can be directly displayed through CT images. Due to the limited pixel number of lung nodules in the lung, doctors have the risk of missed detection and false detection in the detection process. In order to reduce doctors’ work intensity and assist doctors to make accurate diagnosis, a lung nodule segmentation and recognition algorithm is proposed by simulating doctors’ diagnosis process with computer intelligent methods. Firstly, the attention mechanism model is established to focus on the region of lung parenchyma. Then, a pyramid network of bidirectional enhancement features is established from multiple body positions to extract lung nodules. Finally, the morphological and imaging features of lung nodules are calculated, and then, the signs of lung nodules can be identified. The experiments show that the algorithm conforms to the doctor’s diagnosis process, focuses the region of interest step by step, and achieves good results in lung nodule segmentation and recognition.
Artificial Intelligence Algorithm‐Based Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) in the Treatment of Glioma Biopsy
Authors: Wei Wei , Ma Liujia , Yang Liying , Lu Rong , Xi Cong
Published: March 2022

This study was aimed at exploring the application value of positron emission tomography (PET) + magnetic resonance imaging (MRI) technology based on convolutional neural network (CNN) in the biopsy and treatment of intracranial glioma. 35 patients with preoperatively suspicious gliomas were selected as the research objects. Their imaging images were processed using CNN. They were performed with the preoperative head MRI, fluorodeoxyglucose (FDG) PET, and ethylcholine (FECH) PET scans to construct the cancer tissue contours. In addition, the performance of CNN was evaluated, and the postoperative pathology of patients was analyzed. The results suggested that the CNN‐based PET + MRI technology showed a recognition accuracy of 97% for images. Semiquantitative analysis was adopted to analyze the standard uptake value (SUV). It was found that the SUVFDG and SUVFECH of grade II/III glioma were 9.77 ± 4.87 and 1.82 ± 0.50, respectively, and the SUVFDG and SUVFECH of grade IV glioma were 13.91 ± 1.83 and 3.65 ± 0.34, respectively. According to FDG PET, the mean value of SUV on the lesion side of grade IV glioma was greater than that of grade II‐III glioma, and the difference was significant (P < 0.05), and similar results were obtained on FECH PET. It showed that CNN‐based PET + MRI fusion technology can effectively improve the recognition effect of glioma, can more accurately determine the scope of glioma lesions, and can predict the degree of malignant glioma to a certain extent.
A Decomposition and Dominance-Based Multiobjective Artificial Bee Colony Algorithm for Multiple Sequence Alignment
Authors: Ye Lei
Published: March 2022

The multiple sequence alignment (MSA) problem is essential in biological research for finding a specific relationship between the biologic sequences and their function. This study proposes a decomposition and dominance-based multiobjective artificial bee colony optimization algorithm for MSA (MOABC/D-MSA). MOABC/D-MSA uses three kinds of searching strategies to obtain a group of nondominated solutions with high quality and diversity of an MSA problem. A decomposition-based employed bee strategy is proposed to search for high-performance solutions of the MSA, while insuring their diversity. A nondominated sorting-based onlooker strategy searches for the solutions near the Pareto front (PF) to guide the subsequent searching. The scout bee strategy facilitates the algorithm to get out of the local optimal. A comparative experiment is implemented on BAliBASE 3.0, a benchmark for MSA algorithms. Experimental results show that the proposed algorithm has competitive performance with state-of-the-art metaheuristic algorithms. Furthermore, nondominated solutions of MOABC/D-MSA have a more uniform distribution in the objective space.
Drp1-Mediated Mitochondrial Metabolic Dysfunction Inhibits the Tumor Growth of Pituitary Adenomas
Authors: Fan Kexia , Ding Xiao , Zang Zhenle , Zhang Yin , Tang Xiaoshuang , Pei Xiangdong , Chen Qingbo , Yin Huachun , Zheng Xin , Chen Yong , Li Song , Yang Hui
Published: March 2022

Metabolic changes have been suggested to be a hallmark of tumors and are closely associated with tumorigenesis. In a previous study, we demonstrated the role of lactate dehydrogenase in regulating abnormal glucose metabolism in pituitary adenomas (PA). As the key organelle of oxidative phosphorylation (OXPHOS), mitochondria play a vital role in the energy supply for tumor cells. However, few attempts have been made to elucidate mitochondrial metabolic homeostasis in PA. Dynamin-related protein 1 (Drp1) is a member of the dynamin superfamily of GTPases, which mediates mitochondrial fission. This study is aimed at investigating whether Drp1 affects the progression of PA through abnormal mitochondrial metabolism. We analyzed the expression of dynamin-related protein 1 (Drp1) in 20 surgical PA samples. The effects of Drp1 on PA growth were assessed in vitro and in xenograft models. We found an upregulation of Drp1 in PA samples with a low proliferation index. Knockdown or inhibition of Drp1 enhanced the proliferation of PA cell lines in vitro, while overexpression of Drp1 could reversed such effects. Mechanistically, overexpressed Drp1 damaged mitochondria by overproduction of reactive oxygen species (ROS), which induced mitochondrial OXPHOS inhibition and decline of ATP production. The energy deficiency inhibited proliferation of PA cells. In addition, overexpressed Drp1 promoted cytochrome c release from damaged mitochondria into the cytoplasm and then activated the downstream caspase apoptotic cascade reaction, which induced apoptosis of PA cells. Moreover, the decreased ATP production induced by Drp1 overexpressing activated the AMPK cellular energy stress sensor and enhanced autophagy through the AMPK-ULK1 pathway, which might play a protective role in PA growth. Furthermore, overexpression of Drp1 repressed PA growth in vivo. Our data indicates that Drp1-mediated mitochondrial metabolic dysfunction inhibits PA growth by affecting cell proliferation, apoptosis, and autophagy. Selectively targeting mitochondrial metabolic homeostasis stands out as a promising antineoplastic strategy for PA therapy.
Study on the Relationship between Chlorite Clay Film Diagenesis and Sedimentary Facies in Reservoir Sandstones
Authors: Zhang Rui , Qin Guangsheng , Nie Minglong
Published: March 2022

A large amount of oil and gas has been found in Chang 6 Formation sandstones in Huaqing region of Ordos Basin. It is controversial whether the chlorite clay film is one of the main controlling factors of high quality sandstone reservoirs in this area. On the basis of previous studies, the chlorite clay film in sandstone reservoirs in the working area was studied by X-ray diffraction, casting thin section, scanning electron microscope, energy spectrum, and other analytical methods. The results show that the sandstones developed by chlorite clay films are closely related to the strong hydrodynamic deposition condition. The formation of chlorite clay film is a gradual process, and the particle coating is mainly formed in the early stage. The material source is the Fe-bearing flocculation precipitation produced when the river enters the lake. The chlorite lining is mainly formed in the later stage, and its material source is mainly iron ions produced by the dissolution of clastic particles such as feldspar or rock debris. The chlorite clay film cannot prevent the cementation and cannot protect the intergranular pores. Therefore, the better physical properties of the sandstones with the chlorite clay film in the Chang 6 Formation of the Huaqing region are related to the petrological characteristics of the sandstone deposited under strong hydrodynamic conditions and have little relation with chlorite clay film.
Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules
Authors: Du Wang , He Bei , Luo Xiaojie , Chen Min
Published: March 2022

Objective. To evaluate the diagnostic value of artificial intelligence-assisted CT imaging in benign and malignant pulmonary nodules. Methods. The CT scan screening of pulmonary nodules from November 2018 to November 2020 was retrospectively collected. The diagnosis of pulmonary nodules and surgical treatment were performed. A total of 194 nodules in 152 patients with clear pathological results were observed. All patients underwent CT examination to analyze the consistency of the results of artificial intelligence, physician reading according to imaging features, multidisciplinary team work (MDT) diagnosis, and postoperative pathological results; the diagnostic efficacy of different diagnostic methods for solitary pulmonary nodules and the differences of ROC curve and AUC were analyzed. The accuracy, specificity, sensitivity, positive predictive value, negative predictive value, false negative rate, and false positive rate of different diagnostic methods for pulmonary nodules were calculated, and the ROC curves of different diagnostic methods were plotted. Results. The accuracy, sensitivity, specificity, and Youden index of artificial intelligence (AI) were 89.69%, 92.98%, 65.22%, and 58.20%; the accuracy, sensitivity, specificity, and Youden index of physician reading were 85.57%, 88.30%, 65.22%, and 53.52%; the accuracy, sensitivity, specificity, and Youden index of MDT were 96.91%, 98.25%, 86.96%, and 85.21%, respectively. The kappa values of artificial intelligence, physician reading, and MDT were 0.541, 0.437, and 0.852, and the AUC was 0.768, 0.791, and 0.926, respectively (

P
<
0.001

). The average detection time of pulmonary nodules in the AI group, manual reading group, and MAT group was (145 ± 97) s, (534 ± 297) s, and (421 ± 128) s (

P
<
0.001

). Conclusion. Artificial intelligence pulmonary nodule detection system can improve the coincidence rate and accuracy of early diagnosis of lung cancer, shorten the average detection time, and provide more accurate information for clinical decision-making.
Drug-Induced Liver Injury during Consolidation Therapy in Childhood Acute Lymphoblastic Leukemia as Assessed for Causality Using the Updated RUCAM
Authors: Qin Fu-Li , Sang Guo-You , Zou Xiao-Qin , Cheng Dao-Hai
Published: March 2022

Purpose. The presence of serious toxicities is a major problem in the treatment of childhood acute lymphoblastic leukemia (ALL). The objective of this research is to evaluate drug-induced liver injury (DILI) during consolidation therapy in childhood ALL. Methods. Clinical data of pediatric patients who received consolidation therapy between August 2012 and July 2018 were collected. Characteristics (incidences and patterns) of DILI at different stratifications were determined. Risks of DILI were evaluated using binary logistic regression analysis. Drug causality assessment was carried out by the updated Roussel Uclaf Causality Assessment Method (RUCAM). Results. Patients with high risk (HR) and standard risk (SR)/intermediate risk (IR) received 270 and 1539 courses of consolidation therapy, respectively; among these courses, 15 (5.6%) and 38 (2.5%) developed DILI. The occurrences of DILI in SR/IR patients were primarily associated with age (≤5.2 years), treatment course (≥5), and baseline serum parameters before treatment (cystatin C > 0.79 mg/L, albumin ≤45 g/L, and gamma-glutamyl transpeptidase (GGT) > 17 U/L). The ROC curve generated using the parameters assigned to specific values achieved an area under the curve (AUC) of 0.846 (95% CI 0.827–0.863) with a cutoff value of 3, and the sensitivity and specificity were 94.7% and 62.3%, respectively. For HR patients, a decrease in baseline albumin and elevation of baseline liver enzymes (GGT and aspartate aminotransferase) were observed in DILI cases compared with the non-DILI subjects. In the SR/IR group with DILI, the causality gradings for high-dose methotrexate (HD-MTX) were highly probable in 5 (13.2%) cases, probable in 31 (81.6%) cases, and possible in 2 (5.3%) cases. Among the DILI cases in HR-1, HR-2, and HR-3 groups, high causality gradings (probable + highly probable) were detected in “100% of HD-MTX + 57% of high-dose cytarabine (HD-Ara-C),” “100% of HD-MTX + 20% of pegylated asparaginase (PEG-ASP),” and “100% of HD-Ara-C + 33.3% of PEG-ASP,” respectively. Conclusion. Incidence of DILI in HR patients was significantly higher than that in SR/IR patients. A number of potential risk factors were identified, among which the preexisting liver conditions were suggested as shared risk factors in all stratification groups. HD-MTX, HD-Ara-C, and PEG-ASP were the main causative agents of DILI. The knowledge generated from this study will be helpful for understanding characteristics of DILI during consolidation treatment in childhood ALL.
Reduced Pain by Mind-Body Intervention Correlates with Improvement of Shoulder Function in People with Shoulder Pain: A Randomized Controlled Trial
Authors: Kang Hojung , An Seung Chan , Kim Byeongkwan , Song Youngjae , Yoo Jaesung , Koh Eugene , Lee Seungheun , Yang Hyun-Jeong
Published: March 2022

Meditation and acupressure-like stimulations have been shown to relieve pain. The aim of this study was to determine whether a short bout of mind-body intervention combined with meditation and acupressure-like stimulation was able to alleviate shoulder pain and improve its function in a short time window. Sixty-five adults with shoulder pain were recruited and randomly classified into two groups. One group participated in an intervention which consisted of acupressure-like stimulation and meditation over a 5 min period. The other group was instructed to rest during this time. A visual analog scale (VAS) pain score and objective constant scores were measured before and after intervention to determine shoulder pain and range of motion (ROM), respectively. A two-way repeated measures analysis of variance with Bonferroni correction and a regression analysis were performed. VAS pain, objective constant score, flexion, abduction, and external rotation score showed significant interactions between time and group. The pain intensity was significantly reduced, while flexion and abduction were significantly improved, in the experimental group compared to the control group, after the intervention. In addition, the change of flexion negatively correlated with the change of pain intensity in the experimental group, but not in the control group. These results show that a short-term application of mind-body intervention significantly alleviates shoulder pain and improves shoulder movement, suggesting its potential use as a therapy for people with shoulder pain.
Deep Learning-Based Electrocardiograph in Evaluating Radiofrequency Ablation for Rapid Arrhythmia
Authors: Wang Guoqiang , Chen Guocai , Huang Xueqin , Hu Jianbo , Yu Xuejun
Published: March 2022

This study is aimed at analyzing the important role of deep learning-based electrocardiograph (ECG) in the efficacy evaluation of radiofrequency ablation in the treatment of tachyarrhythmia. In this study, 158 patients with rapid arrhythmia treated by radiofrequency ablation were divided into effective treatment group (142 cases) and ineffective treatment group (16 cases). ECG examination was performed on all patients, and the indicators of ECG examination were quantified by the deep learning-based convolutional neural network model. The indicators of ECG examination of the effective treatment group and the ineffective treatment group were compared. The results showed that compared with the ineffective treatment group, the end-systolic volume (ESV), end-diastolic volume (EDV), end-systolic volume index (ESVI), and end-diastolic volume index (EDVI) of the effective treatment group were significantly decreased, and the left ventricular ejection fraction (LVEF) was significantly increased (

P
<
0.05

). After radiofrequency ablation, the ventricular rate of patients in the effective treatment group was significantly lower than that of the ineffective treatment group at 12 h and 24 h after treatment (

P
<
0.05

). In addition, compared with patients in the ineffective treatment group, the QT dispersion of the ECG in the effective treatment group was significantly higher (

P
<
0.05

). The accuracy, specificity, and sensitivity of ECG in evaluating the therapeutic effect of patients with tachyarrhythmia were 86.81%, 84.29%, and 77.27%, respectively. The area under the curve was determined as 0.798 according to the receiver operating characteristic (ROC) curve of the subjects. In summary, indicators of ECG examination based on deep learning can provide auxiliary reference information for the efficacy evaluation of radiofrequency ablation in the treatment of tachyarrhythmia.