bluuebunny/crossref_metadata_2025 huggingface dataset:
Personalized Book Recommendation Algorithm for University Library Based on Deep Learning Models
Authors: Hou Dongjin
Published: June 2022

Personalized recommendation is one of the important contents of personalized service in university libraries. Accurate and in-depth understanding of users is the premise of personalized recommendation. This paper proposes a personalized book recommendation algorithm based on deep learning models according to the characteristics and laws of user savings in university libraries. The method first uses the long short-term memory network (LSTM) to improve the deep autoencoder (DAE) so that the model can extract the temporal features of the data. Then, the Softmax function is used to obtain the book recommendation result of the current user. The proposed method is verified based on actual library lending data. The experimental results show that the proposed method has performance advantages compared with several existing recommendation methods.
Pituitary Apoplexy and Subdural Hematoma after Caesarean Section
Authors: Hoang Van Trung , Hoang The Huan , Nguyen Thanh Tam Thi , Chansomphou Vichit , Hoang Duc Thanh
Published: June 2022

Pituitary apoplexy can occur postpartum, and subdural hematoma following epidural anesthesia is a rare complication. Cooccurrence of these two complications is extremely rare and has not been previously reported in the literature. In this article, we present a case of pituitary apoplexy along with intracranial subdural hematoma happening two days after spinal anesthesia for cesarean section. The patient presented with peripheral facial nerve paralysis accompanied by headache, eye pain, and blurred vision and was diagnosed by imaging modalities. The patient made a good recovery with conservative treatment without serious health events.
Analysis of Apparent Diffusion Coefficient Value and Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters of Prostate Cancer Patients after Diagnosis and Treatment with Magnetic Resonance Imaging
Authors: Gu Peng
Published: June 2022

This research was aimed at exploring the changes in the apparent diffusion coefficient (ADC) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters of prostate cancer (PCa) patients. Sixty PCa patients from the hospital were recruited as the research object, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) scans were performed to determine the shape, scope, and enhancement characteristics of prostate lesions and their relationship with surrounding tissues. The quantitative parameters of ADC and DCE-MRI were measured. There were 4 patients (6.67%) with a Gleason score of 6 and 15 patients (25%) with a

4
+
3

score. The ADC with

Gleason
=
6

is

0.81
±
0.08
×

10

−
3

 
s
/
m

m

2

, the ADC with

Gleason
=
3
+
4

is

0.74
±
0.07
×

10

−
3

 
s
/
m

m

2

, the ADC with

Gleason
=
4
+
3

is

0.73
±
0.05
×

10

−
3

 
s
/
m

m

2

, the ADC with

Gleason
=
9

is

0.65
±
0.06
×

10

−
3

 
s
/
m

m

2

, and the ADC with

Gleason
=
10

is

0.59
±
0.07
×

10

−
3

 
s
/
m

m

2

. As the Gleason score increased, the ADC decreased and the permeation parameter transfer constant increased. When the ADC was combined with the permeability parameter transfer constant, the AUC of

Gleason
=
6

points and

Gleason
=
7

points was greatly different (

P
<
0.05

). The 95% CI of the ADC combined permeability parameter transport constant when

Gleason
=
6

points and

Gleason
=
7

points was 0.898-0.934, the sensitivity was 75.4%, and the specificity was 86.2%. The ADC value was negatively correlated with Gleason score. The ADC value combined with VTC value has good diagnostic performance in evaluating the invasion of PCa, which is very important for making treatment plan and evaluating prognosis.
Large-Scale Shopping Mall Architectural Design Based on Intelligent BIM Technology
Authors: Zhou Yuan , Mishaal Ibrahim
Published: June 2022

In this paper, limit analysis method and limit analysis finite element method are used to study the stability of large-scale shopping mall building structure. Moreover, this paper combines data analysis to verify the algorithm analysis process of this paper and uses statistical methods to verify that the algorithm proposed in this paper is applicable to the architectural design of large shopping malls. Furthermore, this work uses BIM and finite element technologies to test the usefulness of this strategy by simulating the shopping mall design process. The experimental research shows that the large-scale shopping mall architectural design model proposed in this paper, which is based on intelligent BIM technology, has a good large-scale shopping mall architectural design effect as well as a large-scale shopping mall architectural structure analysis effect.
Electroacupuncture Improves Choroidal Blood Flow to Inhibit the Development of Lens-Induced Myopia in Guinea Pigs
Authors: Yu Ting , Xie Xiaofeng , Wei Huixia , Wu Qiuxin , Zhang Xiuyan , Tian Qingmei , Song Jike , Bi Hongsheng
Published: June 2022

Introduction. The purpose of this paper was to study the effect of electroacupuncture (EA) on choroidal blood flow (ChBF) in a guinea pig model of lens-induced myopia (LIM). Methods. Guinea pigs were randomly divided into 4 groups: normal control (NC) group, LIM group, LIM + electroacupuncture (LIM + EA) group, and LIM + sham acupoint (LIM + sham) group. Right eyes were covered with a −6D lens to induce myopia. Meanwhile, LIM + EA group and LIM + sham group were treated with EA at acupoints Hegu (LI4) and Taiyang (EX-HN5) and sham points. Refraction, axial length (AL), choroidal thickness (ChT), vessel density of choriocapillaris (CC) and choroidal layer, and scleral collagen fiber were measured. Besides, hypoxia-inducible factor-1α (HIF-1α), matrix metalloprotein-2 (MMP-2), and tissue inhibitor metalloprotease-2 (TIMP-2) expression in sclera were detected. Results. Refraction and AL were significantly decreased and ChT and vessel density of CC were significantly increased in LIM + EA group at 2 weeks and 4 weeks (allP<0.05) compared with LIM group. However, no significant difference of vessel density of choroidal layer was observed between LIM and LIM + EA group at 2 weeks and 4 weeks. Scleral collagen fibrils diameters were significantly increased in LIM + EA group at 4 weeks (P<0.001) compared with LIM group. At the end of experiment, the mRNA and protein expression of HIF-1α and MMP-2 were significantly decreased (allP<0.05) and those of TIMP-2 were increased in LIM + EA, compared with LIM. However, there were no significant differences between LIM and LIM + sham group. Conclusions. EA can improve the vessel density of choroid and then possibly improve scleral hypoxia, which may inhibit the growth of the AL in myopia guinea pig.
Developing English Majors’ Comprehension of Literary Texts and Online Self-Regulated Language Learning Skills via Literature Circles 2.0
Authors: Kassem Mohamed Ali Mohamed
Published: June 2022

To cope with the virtual learning mode that the COVID-19 pandemic has posed and driven by the desire to enhance students’ ability to plan, monitor, and evaluate their online learning, the current study sought to digitalize the Literature Circles model and investigate its effect on developing English majors’ comprehension skills of literary texts and online self-regulated language learning skills in an EFL context. Literature Circles 2.0 was adopted to teach the Literary Reading course that includes five short stories and a one-act play. To achieve the purpose of the study, two tools were implemented: Test of Literary Reading Comprehension Skills and Online Self-Regulated Language Learning Skills Questionnaire (Barnard et al., 2009). Sixty English majors, divided into two equivalent groups, participated in the study. The control group studied the course using the traditional teaching method, teacher-centered, which relies on lecturing, whereas the experimental group studied the same course using the Literature Circles 2.0, whereby students worked autonomously in an online virtual environment. The study results revealed the significant effect of Literature Circles 2.0 on developing the students’ comprehension of literary texts as they were demonstrated to be involved personally and emotionally in the active learning process of the course. Meanwhile, the students of the experimental group displayed a significant mastery of the online self-regulated language learning skills. Based on the students’ significant improvement in processing, comprehending, and extracting the meaning of literary texts, the study concluded that the Literature Circles 2.0 proved to be an effective approach to promoting students’ comprehension of literary texts. Therefore, the study conclusively recommends the use of Literature Circles 2.0 in teaching such texts.
Study on the Equivalent Permeability Coefficient of Karst Conduit with Single Conduit and Multigroup Fissures
Authors: Li Tianyu , Fan Qiuyan , Yang Pengshuai , Liang Jiahui
Published: June 2022

In order to improve the calculation method of the conversion coefficient of karst conduit under the condition of multiple fissures and conduit intersecting, the indoor test model of karst groundwater seepage with a single conduit and multiple groups of fissures is established. Under the condition of fixed upstream and downstream water heads, the changes of karst conduit water head under different fissures width, fissures combination, and different flow velocity were observed. The test found that the karst conduit water level gradually decreased with the increase of distance, showing an obvious linear relationship. Based on the above-observed water head law, the conversion coefficient of fissures influence is introduced into the Darcy–Weisbach formula, and the regression analysis of test data are used to obtain the calculation formula of the equivalent permeability coefficient of conduit intersecting multiple fissures and karst conduit. The formula is applicable to the case that the fissures are equidistant and the conduit is vertical and does not change dramatically along the conduit.
Intelligent Oil Production Stratified Water Injection Technology
Authors: Cheng Hanlie , Yang Dong , Lu Changsong , Qin Qiang , Cadasse David
Published: June 2022

As the driving energy to deal with the decrease of interlayer pressure caused by continuous oil production, the layered water injection technology has the characteristics of inhibiting the decrease of oil production and slowing down the increase of oil/gas ratio. In engineering, water injection technology is often used to improve the properties of crude oil, such as excessive viscosity, weak liquidity, and depleted storage, to avoid the formation of dead oil. Injecting appropriate amount of water into different production horizons can effectively maintain the formation water injection pressure, improve the sustainable development speed of the oilfield, ensure the oil production and effectively control the production cost. It is of great value to petroleum engineering and has been widely concerned by the industrial and academic circles at home and abroad. With the continuous development of oilfields over the years, most oilfields have become high-water-cut oilfields. Through the existing layered water injection technology, there are defects such as high labor cost, low operating efficiency, and long commissioning cycle. The ratio of water injection cost to constant increase gradually decreases, and the technical shortcomings become more and more obvious, which is difficult to meet production needs. It is urgent to study and optimize water injection technology scheme to meet oilfield production and technology iteration. In recent years, electronic technology, communication technology, automatic control technology, and other advanced production technology applied to geological exploration, logging technology fields such as engineering, oilfield development is towards integration and intelligent direction, which makes the advanced control and real-time communication intelligent power precision, and the layered water injection technology is possible. This paper summarizes the development history and status quo of oil recovery stratified water injection technology at home and abroad and points out that there are technical bottlenecks and development limitations in the development of water injection technology at present. Focusing on the current hot spots of intelligent oil recovery stratified water injection technology, the advantages and disadvantages of various intelligent water injection technology are compared and analyzed. It provides a certain theoretical reference value for the theoretical research and engineering application of intelligent stratified water injection technology to the equipment design and production of oilfield production and oil recovery technology research institutes and technology and equipment manufacturers.
Bimodal SWCC and Bimodal PSD of Soils with Dual-Porosity Structure
Authors: Guo-Quan Ding , Xia Bian , Jun-Ping Yuan , Jun-Gao Zhu
Published: June 2022

The soil–water characteristic curve (SWCC) and pore-size distribution (PSD) are fundamental characteristics of soils that determine many physical and mechanical properties. Recent studies demonstrate that both SWCC and PSD sometimes exhibit a bimodal feature. In this paper, soils with bimodal SWCCs are mainly divided into three categories: gap-graded soils, compacted clayey soils, and natural dual-porosity structural soils, from the perspective of microporosity structure. Based on the Fredlund and Xing unimodal SWCC equation, a bimodal SWCC equation is presented. The bimodal PSD equation

d
v

/

d
log
 
 
r

for mercury intrusion porosimetry (MIP) is derived theoretically, according to the relationship between the mercury intrusion process in MIP and the water desorption process along the drying SWCC. These two associated equations have the same set of parameters, so the corresponding relationship between the bimodal SWCC and bimodal PSD can be directly shown. Three main presenting forms of PSD in MIP tests are summarized. Regression analysis results show that the proposed PSD equation can well fit bimodal PSD experimental data of various soils in the literature, and the SWCCs are predicted at the same time.
Analysis on Evolution Law of Small Structure Stress Arch and Composite Bearing Arch in Island Gob-Side Entry Driving
Authors: Huang Shunjie , Wang Xiangqian , Li Yingming , Wang Lei , Liu Gang , Xiao Fukun , Bashkov O. V.
Published: June 2022

At present, the theory of supporting the surrounding rock small structure of gob-side entry driving has been widely used, but there is no specific quantitative analytical formula for the bearing strength and bearing characteristics of the structure. Construct a small structural stress arch mechanical model based on the arch axis equation, and divide the width of coal pillars (fractured zone-plastic softening zone-plastic hardening zone) and small structural stress arch height. According to the relationship between the stress arch height and the size of the roadway, the anchor cable length is determined to be 7.3 m, and the “anchor mesh + ordinary long anchor cable + grouting anchor cable” coordinated support plan is proposed: anchor net support is used for the first support, and long anchor cable and grouting anchor cable are used for the second support. Combined with the supporting parameters, a mechanical model of the surrounding rock composite bearing stress arch is proposed, and the composite bearing stress arch structure is derived using elastoplastic mechanics to obtain the ultimate bearing strength relationship expression. The results show that the ultimate bearing capacity of the haulage gateway of 17236 island working-face in the north of Zhangji coal mine can reach 29.193 MPa after the composite bearing stress arch support. The feasibility of the supporting scheme is verified, and field monitoring showed that the deformation zone of the surrounding rock of the transportation haulage gateway is stable after being supported by the composite bearing stress arch structure, the maximum shrinkage of the top and bottom of the roadway is 287 mm, and the distance between the two sides is 640 mm.
[Retracted] Clinical Value and Imaging Features of Bedside High‐Frequency Ultrasound Imaging in the Diagnosis of Neonatal Pneumonia
Authors: Zhu Jianchang , Chen Peng , Jiang Dazhi
Published: June 2022

The aim is to solve the problem of the urgent need of a nonradiation, noninvasive, and simple‐to‐operate diagnostic method for neonatal pneumonia that can indicate the severity of the disease and dynamically monitor the outcome of the disease. The authors propose a bedside high‐frequency ultrasound technique based on methods for evaluation in the detection and treatment of neonatal pneumonia. The results obtained are as follows: the sensitivity of neonatal lung ultrasound in the diagnosis of neonatal pneumonia was 96.6%, the specificity was 93.3%, the positive predictive value was 93.5%, and the negative predictive value was 96.5%. The sensitivity of chest X‐ray in the diagnosis of neonatal pneumonia was 93.3%. Compared with the lung ultrasound and chest X‐ray in the diagnosis of neonatal pneumonia, the two had a good correlation. The neonatal respiratory score was positively correlated with the lung ultrasound score, and the higher the lung ultrasound score, the more severe the disease. The score decreased by 35% after 3 days of treatment and 68% after 7 days of treatment, indicating that the lung high‐frequency ultrasound score can be very effective in characterizing the treatment situation. It has been demonstrated that the lung ultrasound can be used as an imaging method for the diagnosis of neonatal pneumonia. The higher the lung ultrasound score, the more severe the disease, and the lung ultrasound score was positively correlated with the disease severity. With dynamic monitoring of the lung ultrasound and the gradual improvement of clinical symptoms after treatment, the lung ultrasound score gradually decreased; therefore, the lung ultrasound can be used for re‐examination of neonatal pneumonia to evaluate the treatment effect and guidance.
[Retracted] Effects of Adding Ultrasound Biofeedback to Individualized Pelvic Floor Muscle Training on Extensibility of the Pelvic Floor Muscle and Anterior Pelvic Organ Prolapse in Postmenopausal Women
Authors: Gu Xiaoning , Yang Min , Liu Fang , Liu Dongmei , Shi Fuwen
Published: June 2022

The aim of the study was to determine effects of adding transperineal ultrasound (TPUS) biofeedback to individualized pelvic floor muscle training (PFMT) on extensibility of the pelvic floor muscle and anterior pelvic organ prolapse (POP) in postmenopausal women. A total of 77 patients with POP at stage I or stage II were admitted to Beijing Shijitan Hospital, China, from January 2017 to October 2018. They were randomly divided into a control group (CG) (n = 37) or a study group (SG) (n = 40). Both SG and CG received a 12‐week PFMT including health education, verbal instruction, and home training. However, the SG, but not the CG, received additional TPUS biofeedback. Data of these patients were retrospectively reviewed. The distance from the lowest point of the bladder to the inferior‐posterior margin of the symphysis pubis (BSP) and the levator hiatus area (LHA) were measured on maximal Valsalva via TPUS before and after the 12‐week PFMT. Correct pelvic floor muscle contraction (PFMC) rates before and after PFMT were compared between the two groups. The correct PFMC rate was higher in the SG than that in the CG (92.5% vs. 73%; x2 = 5.223, p = 0.022). The BSP was increased but the LHA was reduced after the 12‐week PFMT in both groups compared to those before PFMT (all p < 0.05). However, after the PFMT, the SG showed greater improvement than the CG for both BSP (0.77 ± 0.71 cm vs. 0.11 ± 0.66 cm, p < 0.05) and LHA (20.69 ± 2.77 cm2 vs. 22.85 ± 3.98 cm2, p < 0.05). TPUS might be an effective biofeedback tool for PFMT in clinical practice. Individualized PFMT with TPUS biofeedback could significantly attenuate POP severity and strengthen the extensibility of pelvic floor muscle in postmenopausal women when they are under increased intraabdominal pressure.
Mo-Si-B Alloy Formed by Optional Laser Melting Process
Authors: Guo Zhengyou , Han Renheng , Li Yanan , Zhu Yanqing , Zhang Bin , Zhang Hexin
Published: June 2022

In this research article, the molybdenum alloy was prepared by solid-solid doping, selecting pure Mo powder, amorphous Si powder, and B powder as the experimental raw materials for SLM molding. The density and mechanical properties of Mo-Si-B alloys prepared by SLM technology under different processes and compositions were explored, and at the same time, the microstructure of the obtained alloy was observed. The result shows that, with a laser power of 250 W, a scanning speed of 500 mm/s, and a scanning distance of 60 μm, the Mo4.5-Si2-B (at.%) alloy has the highest forming rate under the 120°parameters of the rotating scanning strategy, and the highest density is 94.22%.
Comprehensive Accounting of Resources, Environment, and Economy Integrating Machine Learning and Establishment of Green GDP
Authors: Chen Baoyu , Li Feng
Published: June 2022

In macroeconomics, GDP is one of the most important concepts and indicators. GDP has always been the most common indicator of national economic development in the world. With the development of the environmental protection movement and the rise of the sustainable concept, it is urgent to carry out resource and environmental accounting to comprehensively reflect the resource and environmental input in economic development. Green GDP is gradually developed in this context. The article introduces machine learning technology and data mining technology to establish a comprehensive accounting system for resource and environmental economy and green GDP. The data related to a city’s green GDP is collected by mining and the environmental ecological cost is constructed to correct the city to obtain its green GDP value. Taking a city as an example and confirming the method proposed in this article, the final GDP of the city is 68.839 billion yuan, the environmental ecological cost is 4.635 billion yuan, and the green GDP is 64.204 billion yuan.
English Writing Correction Based on Intelligent Text Semantic Analysis
Authors: Yang Shuang
Published: June 2022

In order to improve the teaching effect of English writing, this paper combines the intelligent text semantic analysis algorithm to construct an English writing correction model. Moreover, this paper deduces the relationship formula between the range of English semantic information cloud drop and the evaluation word through the contribution of cloud drop group to qualitative concepts, the association between cloud drop central area and evaluation words, and the relationship between cloud drop ring area and evaluation word. In addition, this paper uses the word selection probability results obtained from the preference evaluation. The simulation results show that the English writing correction model based on intelligent text semantic analysis proposed in this paper can play an important role in the intelligent teaching of English writing.
Malaria Prevalence and Distribution of Plasmodium Species in Southern Region of Ethiopia
Authors: Assemie Anmut
Published: June 2022

Malaria is caused by Plasmodium species and transmitted by Anopheles mosquitoes, which is the most common medical concern all over the world, including in Ethiopia. The current systematic review’s goal was to determine the overall malaria prevalence and Plasmodium species distribution in Ethiopia’s southern area. To achieve these objectives, 716 articles were manually searched from online databases such as PubMed, Scopus, Google Scholar, Science Direct, and Web of Science. The pooled metalogistic regression was calculated with the STATA 16 software to present the pooled prevalence with a 95% confidence interval (CI). Eighteen full-text articles met the inclusion criteria and were included in the study, out of the 716 studies initially identified. The majority of the articles in the systematic review used a cross-sectional study design, with sample sizes ranging from 160 to 583,668 participants. The study’s lowest and highest malaria prevalence was 0.93% and 82.84%, respectively. During the current systematic review, the estimated malaria prevalence was 19.19% (95% CI: 14.67–23.70). There were 263,476 positive individuals in the study, accounting for 148,734, 106,946, and 7,796 cases of P. falciparum, P. vivax, and mixed infections, respectively. The overall prevalence of P. falciparum and P. vivax was 8.97% (95% CI: 6.31, 11.63) and 7.94% (95% CI: 6.56, 9.33), respectively. According to the systematic review, the most predominant Plasmodium species responsible for malaria disease in the study area was P. falciparum. The highest malaria rates were found in this systematic review. In the systematic review, P. falciparum was the most dominant Plasmodium species that was responsible for malaria disease in the study area. This systematic review indicates the highest malaria prevalence in the southern regions of Ethiopia. Therefore, existing malaria prevention and control strategies in the southern region of Ethiopia should be revised.
Application of Conditional Random Field Model Based on Machine Learning in Online and Offline Integrated Educational Resource Recommendation
Authors: Zeng Erqi
Published: June 2022

It is of great significance to mine the learning resources that learners are interested in from massive data and recommend appropriate educational resources to them according to the characteristics of students. To improve the accuracy of educational resource recommendation, this paper proposes an educational resource recommendation system based on a graph attention network and conditional random field fusion model. It builds all comments for each student and educational resource into a comment graph. Through the graph's topological structure to capture the network and the dependency between words in the commentary text, the adjacency information of each node is aggregated by the graph attention network based on connection relation. After the graph attention network layer, the conditional random field inference layer is added. The label sequence with the highest probability is output by the dependent random field inference layer, which is taken as the final recommendation result of the model. Experimental results show that the proposed algorithm has better performance in accuracy and diversity than the traditional recommendation algorithm.
Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food
Authors: C. Sreevidya R. , G Jalaja , N Sajitha , Padmaja D. Lakshmi , Nagaprasad S. , Pant Kumud , Kumar Yekula Prasanna
Published: June 2022

Skin cancer is one of the most common types of cancer that has a high mortality rate. Majorly, two types of skin cancer are the most common, which are melanoma and nonmelanoma skin cancer. Each year, approximately 55% of individuals die due to skin cancer. Early detection of skin cancer enhances the survival rate of individuals. There are various antioxidants like vitamins C, E, and A, zinc, and selenium present in various foods that can be helpful in preventing skin cancer. “Deep Learning” (DL) is an effective method to detect cancerous lesions. The study’s purpose is to comprehend the vital function performed by DL methods in supporting healthcare professionals in easier skin cancer detection using big data networks. The present research analyzes the accuracy, sensitivity, and specificity of “Convolutional Neural Network” (CNN) for DL in the early detection of skin cancer. A statistical analysis has been done with IBM SPSS software to understand how the accuracy, sensitivity, and specificity of CNN change with the change in image number, augmentation number, epochs, and resolution of images. These factors have been considered independent variables, and accuracy, sensitivity, and specificity have been considered the dependent variables. After that, a linear regression analysis was carried out to obtain t and

p

values. The major scope of the study is to analyze the major role played by the DL models through the big data network in the medical industry. The researchers also found that when additional characteristics are present, image resolution does not have the potential to reduce image accuracy, specificity, or sensitivity. The scope of the study is more focused on using a DL-based big data network for supporting healthcare workers in detecting skin cancer at an early stage and the role of technology in supporting medical practitioners in rendering better treatment. Findings showed that the number of training images increases the accuracy, sensitivity, and specificity of CNN architecture when various and effective augmentation techniques are used. Image resolution did not show any significant relationship with accuracy. The number of epochs positively affected the accuracy, sensitivity, and specificity; however, more than 98% accuracy has been observed with epochs between 50 and 70.
Positioning of Prefabricated Building Components Based on BIM and Laser Image Scanning Technology in the Environment of Internet of Things
Authors: Zhong Yuting , Qin Zesheng
Published: June 2022

In order to accurately locate the fabricated building components during assembly, the fabricated building components are monitored by laser scanning. At the same time, BIM Technology is proposed to carry out construction management in the construction process, realize safe site management and construction, reduce unnecessary mistakes of human operation, and improve construction quality. With the progress of computer technology, the emergence of the Internet of things has brought convenience to many fields. This research uses the application of phase ranging to carry out omnidirectional laser scanning on the fabricated building components, obtain the point cloud data, and use BIM Technology to simulate and analyze the building, establish the accurate positioning of building components, and prevent the offset phenomenon in the assembly process, so as to improve the construction quality and efficiency. In recent years, the integration of information technology into prefabricated buildings plays a vital role in the transformation and upgrading of China’s construction industry. At the same time, it will also raise the information management level of prefabricated buildings to a new level. In order to improve the quality of building construction, this paper proposes a positioning method of prefabricated building components based on BIM Technology and laser scanning. On this basis, a complete architecture and detailed process application are established, and the promotion policies conducive to the development of intelligent construction of prefabricated buildings in BIM are put forward.
Electroacupuncture Increases the Hippocampal Synaptic Transmission Efficiency and Long-Term Plasticity to Improve Vascular Cognitive Impairment
Authors: Dai Yaling , Zhang Yuhao , Yang Minguang , Lin Huawei , Liu Yulu , Xu Wenshan , Ding Yanyi , Tao Jing , Liu Weilin
Published: June 2022

Studies have shown that electroacupuncture (EA) can effectively improve vascular cognitive impairment (VCI), but its mechanisms have not been clearly elucidated. This study is aimed at investigating the mechanisms underlying the effects of EA treatment on hippocampal synaptic transmission efficiency and plasticity in rats with VCI. Methods. Sprague–Dawley rats were subjected to VCI with bilateral common carotid occlusion (2VO). EA stimulation was applied to Baihui (GV20) and Shenting (GV24) acupoints for 30 min once a day, five times a week, for four weeks. Our study also included nonacupoint groups to confirm the specificity of EA therapy. The Morris water maze (MWM) was used to assess cognitive function. Electrophysiological techniques were used to detect the field characteristics of the hippocampal CA3–CA1 circuit in each group of rats, including input-output (I/O), paired-pulse facilitation ratios (PPR), field excitatory postsynaptic potential (fEPSP), and excitatory postsynaptic current (EPSC). The expression of synapse- and calcium-mediated signal transduction associated proteins was detected through western blotting. Results. The MWM behavioural results showed that EA significantly improved cognitive function in VCI model rats. EA increased the I/O curve of VCI model rats from 20 to 90 μA. No significant differences were observed in hippocampal PPR. The fEPSP of the hippocampal CA3–CA1 circuit was significantly increased after EA treatment compared with that after nonacupuncture treatment. We found that EA led to an increase in the EPSC amplitude and frequency, especially in the decay and rise times. In addition, the protein expression and phosphorylation levels of N-methyl-D-aspartate receptor 2B, α-amino-3-hydroxy-5-methyl-4-isoxazole propionate receptor 1, and Ca2+-calmodulin-dependent protein kinase II increased to varying degrees in the hippocampus of VCI model rats. Conclusion. EA at GV20 and GV24 acupoints increased the basic synaptic transmission efficiency and synaptic plasticity of the hippocampal CA3–CA1 circuit, thereby improving learning and memory ability in rats with VCI.
A Comparative Study on the Effects of “Honey and Fenugreek” with “Fenugreek” on the Breastfeeding Success: A Randomized Trial
Authors: Simbar Masoumeh , Nazarpour Soheila , Mojab Faraz , Kholosi Badr Farahnaz , Khorrami Mobina , Jafari Torkamani Zahra , Alavi-Majd Hamid
Published: June 2022

Objective. Herbal galactagogues are usually recommended to be sweetened with honey. Despite the high nutritious value of honey for lactating women and extensive studies on the effects of herbal galactagogues, no investigation was made to compare galactagogue effects of using herbal galactagogues with and without honey so far. The present study aimed to compare the effect of a combination of “honey and fenugreek” with “fenugreek” on breastfeeding success (BFS). Methods. This study is a triple-blind randomized clinical trial on 75 breastfeeding mothers referred to a Tehran-Iran health center. The participants were randomly divided into two intervention (fenugreek and honey users) and control (fenugreek users) groups. These women had infants of 1–5 months and had exclusive breastfeeding practice. Tools for data collection were (1) the personal and maternal-infant information, (2) the breastfeeding success, and (3) the complications questionnaires. Participants received 30 liquid drops, three times daily for four weeks. The BFS questionnaire was completed twice, before and 4 weeks after the intervention. The CONSORT checklist was followed. Results. Before and after comparison showed no significant difference in the BFS score in the “fenugreek” group, while there was a significant increase in the BFS score in the “honey and fenugreek” group (P=0.035). Between groups, comparison demonstrated a significantly higher score of BFS in the intervention group than in the control group (P=0.023). There were no significant differences between the two groups regarding the possible complications. Conclusion. The combination of honey with fenugreek showed a significant effect on BFS, while there was no improvement in BFS after fenugreek only uses. Trial registration: the study was approved in the Iranian registry of clinical trials with IRCT ID: IRCT20120122008801N23 on 2019-12-30 (https://www.irct.ir/).
Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence
Authors: Zheng Zhiyan , He Ruixuan , Lin Cuijun , Huang Chunyu
Published: June 2022

This work aimed to investigate the application value of the multimodal magnetic resonance imaging (MRI) algorithm based on the low-rank decomposition denoising (LRDD) in the diagnosis of knee osteoarthritis (KOA), so as to offer a better examination method in the clinic. Seventy-eight patients with KOA were selected as the research objects, and they all underwent T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fat suppression T2WI (SE-T2WI), and fat saturation T2WI (FS-T2WI). All obtained images were processed by using the I-LRDD algorithm. According to the degree of articular cartilage lesions under arthroscopy, the patients were divided into a group I, a group II, a group III, and a group IV. The sensitivity, specificity, accuracy, and consistency of KOA diagnosis of T1WI, T2WI, SE-T2WI, and FS-T2WI were analyzed by referring to the results of arthroscopy. The results showed that the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) of the I-LRDD algorithm used in this work were higher than those of image block priori denoising (IBPD) and LRDD, and the time consumption was lower than that of IBDP and LRDD (

p

 < 0.05). The sensitivity, specificity, accuracy, and consistency (Kappa value) of multimodal MRI in the diagnosis of KOA were 88.61%, 85.3%, 87.37%, and 0.73%, respectively, which were higher than those of T1WI, T2WI, SE-T2WI, and FS-T2WI. The sensitivity, specificity, accuracy, and consistency of multimodal MRI in diagnosing lesions in group IV were 95%, 96.10%, 95.88%, and 0.70%, respectively, which were much higher than those in groups I, II, and III (

p

 < 0.05). In conclusion, the LRDD algorithm shows a good image processing efficacy, and the multimodal MRI showed a good diagnosis effect on KOA, which was worthy of promotion clinically.
[Retracted] Identification of Paxillin as a Prognostic Factor for Glioblastoma via Integrated Bioinformatics Analysis
Authors: Huang Zhehao , Wang Hailiang , Sun Dongjie , Liu Jun
Published: June 2022

Glioblastoma (GBM) is the most prevalent and aggressive type of brain tumor in the central nervous system. Clinical outcomes for patients with GBM are unsatisfactory. Here, we aimed to identify novel, reliable prognostic factors for GBM. Cox and interactive analyses were used to identify hub genes from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas datasets. After validation using various cohorts, survival analysis, meta‐analysis, and prognostic analysis were performed. Coexpression and enrichment analyses were performed to elucidate the biological pathways of hub genes involved in GBM. ESTIMATE and CIBERSORT methods were applied to analyze the association of hub genes with the tumor microenvironment (TME). Paxillin (PXN) was identified as a hub gene with a high expression in GBM. PXN expression was negatively correlated with overall survival, progression‐free survival, and disease‐free survival in patients with GBM. Meta‐analysis and Cox analysis revealed that PXN could act as an independent prognostic factor in GBM. In addition, PXN was significantly coexpressed with signal transducer and activator of transcription 3 and transforming growth factor β1 and participated in focal adhesion, extracellular matrix/receptor interactions, and the phosphatidylinositol 3‐kinase/AKT signaling pathway. The results of ESTIMATE and CIBERSORT analyses revealed that PXN was implicated in TME alterations, particularly the infiltration of regulatory T cells, activated memory T cells, and activated natural killer cells. PXN may be a reliable prognostic factor for GBM. Further studies are needed to validate these findings.
Augmented Reality Interactive Guide System and Method for Tourist Attractions Based on Geographic Location
Authors: Zhuang Xueqiu , Jiao Huihua , Lu Kai
Published: June 2022

With the increasing improvement of people’s living standards, more and more tourists choose to travel independently, which puts forward higher requirements for the existing tourist guide system of scenic spots. Augmented reality (AR) is a technology that integrates computer-generated virtual information into real scenes. It provides more interactive modes, allowing visitors to have a stronger sense of immersion in the real world. The interactive navigation system is an analysis and processing system that recommends algorithms for tourists through the back-end server by collecting the user’s registration information data. It provides tourists with reasonable travel itineraries. This can not only allow users to avoid the peak flow of people and save tourists’ time, but also reduce the hidden dangers of scenic spots and improve the turnover rate of passenger flow. This paper aims to study an interactive guide system combined with augmented reality technology to provide tourism services for tourists in tourist attractions based on geographic locations. This paper proposes an improved probabilistic algorithm model to accurately locate tourists. (Probabilistic algorithms are also called randomization algorithms. Probabilistic algorithms allow the random choice of the next computational step during execution. In many cases, when the algorithm is faced with a choice during the execution process, the random choice is time-saving compared to the optimal one. Therefore, the probabilistic algorithm can greatly reduce the complexity of the algorithm.) At the same time, the paper designs an AR scenic spot tour guide system. It tests the performance of the system. The results show that the initial response speed of the improved probability algorithm is 0.69 s, the average response time is 4 s when the number of concurrent users is finally increased to 600, and the growth rate is about 0.006 s. The improved algorithm can obviously enhance the response speed.
Primary Adenosquamous Carcinoma of the Prostate with Rectal Invasion
Authors: Azzi Pierre , Bossé Dominique , Cagiannos Ilias , Borowy-Borowski Paul , Tiberi David
Published: June 2022

Prostate adenosquamous carcinoma (pASC) is a rare form of prostate cancer accounting for <1% of all cases. It is generally considered an aggressive variant often presenting with significant symptom burden and/or metastatic disease. Given its rarity, optimal management of this cancer is unknown. We present a case of a patient with pASC treated with radiotherapy and chemotherapy with excellent symptomatic improvement and local control.
Breast Cancer Classification Using FCN and Beta Wavelet Autoencoder
Authors: AlEisa Hussah Nasser , Touiti Wajdi , Ali ALHussan Amel , Ben Aoun Najib , Ejbali Ridha , Zaied Mourad , Saadia Ayesha
Published: June 2022

In this paper, a new classification approach of breast cancer based on Fully Convolutional Networks (FCNs) and Beta Wavelet Autoencoder (BWAE) is presented. FCN, as a powerful image segmentation model, is used to extract the relevant information from mammography images. It will identify the relevant zones to model while WAE is used to model the extracted information for these zones. In fact, WAE has proven its superiority to the majority of the features extraction approaches. The fusion of these two techniques have improved the feature extraction phase and this by keeping and modeling only the relevant and useful features for the identification and description of breast masses. The experimental results showed the effectiveness of our proposed method which has given very encouraging results in comparison with the states of the art approaches on the same mammographic image base. A precision rate of 94% for benign and 93% for malignant was achieved with a recall rate of 92% for benign and 95% for malignant. For the normal case, we were able to reach a rate of 100%.
Research on the Mechanism of Asperosaponin VI for Treating Recurrent Spontaneous Abortion by Bioinformatics Analysis and Experimental Validation
Authors: Xia Bo , Zhang Peng , Lai Yuling , Cui Shichao , Chen Zhenyue , Yu Qingying , Wu Haiwang , Zeng Lihua , Xie Baozhen , Li Jingwei , Zhang Huimin , Luo Songping , Gao Jie
Published: June 2022

Asperosaponin VI (AS6), as the quality marker of Dipsaci Radix, is verified to exert therapeutic effect on alleviating recurrent spontaneous abortion (RSA). However, due to the lack of relevant research, its molecular mechanism is still unclear. We retrieved targets for AS6 and RSA, and then used their overlapped targets for PPI analysis. In addition, we used GO and KEGG enrichment analyses, and molecular docking to investigate the anti-RSA mechanisms of AS6. Furthermore, we conducted in vitro experiments to validate the predictions of network pharmacology. Results showed that a total of 103 AS6-associated targets and 2084 RSA-associated targets, with 49 targets overlapped. GO enrichment analysis showed 845 significant biological processes like decidualization, while KEGG pathway enrichment analysis revealed 76 significant entries including 18 signaling pathways, which were closely linked to PI3K-Akt, HIF-1, TNF, IL-17, and VEGF signaling pathways, etc. Molecular docking findings verified that AS6 had tight link with the key targets including JUN, CASP3, STAT3, SRC, and PTGS2. Notably, in vitro experiments revealed that AS6 treatment could exert lower expressions of JUN, pro-CASP3, CASP3, STAT3, SRC, and PTGS2 in decidual cells compared with progesterone despite the expressions of STAT3, SRC, and PTGS2 with no significant difference, and mifepristone could interfere with the effects. In general, numerous targets and multiple pathways involve during the process of AS6 treatment against RSA. Moreover, our in vitro research first reported that AS6 may regulate the expressions of key targets (JUN, CASP3, STAT3, SRC, and PTGS2) in decidual cells to promote decidualization, thus treating RSA.
Parental Knowledge, Willingness, and Attitude towards Contraceptive Usage among Their Unmarried Adolescents in Ekpoma, Edo State, Nigeria
Authors: Ehiaghe Airelobhegbe Dorcas , Barrow Amadou
Published: June 2022

Background. Adolescence is a time of opportunity, vulnerability, and risk, particularly in relation to health, unsafe sexual activity, and reproductive health. Neglecting their reproductive health issues leads to a great risk of agonizing transition to parenthood, lifetime effects, and early pregnancy, which can compromise educational achievements and economic potentials. Meeting the reproductive health needs of adolescents mostly rests on the parents’ shoulders. Thus, this study explored parental knowledge, willingness, and attitude towards contraceptive use among their unmarried adolescents. Methods. This was an analytical cross-sectional study design. The multistage sampling technique was used to recruit 360 parents from Ekpoma community, Edo State, Nigeria. A structured questionnaire was used to generate data for this study. Data processing and analysis were done using SPSS version 24. In order to determine association with outcome variables, chi-square (

χ

2

) and Fisher’s exact test statistics were used while statistical significance was set at

p
<
0.05

. Results. The proportion of parental knowledge on contraceptive methods was at 96.9%, parental willingness for their adolescents’ contraceptive uptake at 31.7%, and positive attitude at 24.2%. Associated factors for parental knowledge of contraceptives include gender (

χ

2
=

8.655

,

p
=
0.003

), age (

†
=
13.377

,

p
=
0.001

), marital status (

†
=
133.730

,

p
<
0.001

), educational level (

†
=
103.689

,

p
<
0.001

), religion (

†
=
164.592

,

p
<
0.001

), ethnicity (

†
=
25.273

,

p
<
0.001

), and duration of marriage (

†
=
11.365

,

p
=
0.008

). Factors such as educational level (

†
=
21.220

,

p
<
0.001

), marital status (

†
=
9.001

,

p
=
0.022

), and religion (

†
=
6.058

,

p
=
0.046

) were associated with parental attitude towards contraceptives for their unmarried adolescents. Education level (

†
=
19.905

,

p
<
0.001

) was associated with parental willingness for their unmarried adolescents’ use of contraceptives. Conclusion. Although parents have good knowledge of contraception, this knowledge has not been passed on to their adolescents. However, few parents would encourage their adolescents to use contraceptives and advise the use of condoms if they are sexually active. Parents should be advised about contraceptive matters further to influence their adolescents’ attitudes towards its usage. Establishing youth-friendly health centers will also encourage health information use and exposure.